A novel approach to the development of a manufacturing infonnation model. which forms part of a C... more A novel approach to the development of a manufacturing infonnation model. which forms part of a CAE system for simultaneous engineering is presented. The combined use of reference models (CIM-OSA and RM-ODP), an object orienred methodology (Booch). a function modelling method (IDEFO),an infonnation modelling language (EXPRESS). and computer tools is reported. The importance of using reference models for the definition. design implementation of CAE systems is outlined. Modelling methodologies that effectively map the specification of the reference models are described and theeir usnge is explnined.
American Journal of Engineering and Applied Sciences, 2014
This study shows the latest advances in the application of intelligent control to the inverted-pe... more This study shows the latest advances in the application of intelligent control to the inverted-pendulum problem. A complete review regarding intelligent control design is presented in this study in order to show the most important artificial intelligence methods used for controlling an Inverted-Pendulum. Also this study proposed the use of a neural-fuzzy-with-genetic-algorithms controller for the inverted pendulum problem which gives good results. Conventional controllers are presented in order to observe implementation problems. The study goes deeply in the details that have to take into account in order to understand design problems and limitations.
This document presents the design of an algorithm that takes on its basis: reinforcement learning... more This document presents the design of an algorithm that takes on its basis: reinforcement learning, learning from demonstration and most importantly Artificial Immune Systems. The main advantage of this algorithm named CODA (Cognition from Data). Is; it can learn from limited data samples-that is given a single example and the algorithm will create its own knowledge. The algorithm imitates from the Natural Immune System the clonal procedure for obtaining a repertoire of antibodies from a single antigen. It also uses the self-organised memory in order to reduce searching time in the whole action-state space by searching in specific clusters. CODA algorithm is presented and explained in detail in order to understand how these three principles are used. The algorithm is explained with pseudocode, flowcharts and block diagrams. The clonal/mutation results are presented with a simple example. It can be seen graphically how new data that has a completely new probability distribution. Finally, the first application where CODA is used, a humanoid hand is presented. In this application the algorithm created affordable grasping postures from limited examples, creates its own knowledge and stores data in memory data in memory in order to recognise whether it has been on a similar situation.
Linear relationships Non-linear/ non-deterministic relationships Few elements Simple system Chaot... more Linear relationships Non-linear/ non-deterministic relationships Few elements Simple system Chaotic system Many elements Complicated system Complex system Many active elements Cellular automata Complex adaptive system G. Weichhart et al. / Computers in Industry xxx (2015) xxx-xxx 3 G Model COMIND-2705; No. of Pages 13
Abstract Nowadays, the micro-factory concept of downsizing production systems is essential to man... more Abstract Nowadays, the micro-factory concept of downsizing production systems is essential to manufacturing small products in sustainable growth. Concerning this, this paper presents the developments accomplished during the recent years at Tecnologico de Monterrey (Mexico) introducing new findings related to the design of reconfigurable micro-machine tools for micro-factories. It shows the framework related to the conceptualization of micro-factories for manufacturing system layouts based-on reconfigurable micro-machine tools, identifying the basic steps. The methodology for designing reconfigurable micro-machine tools is exposed, and a reconfigurable first-generation CNC micro- machine tool for micro-factories, is designed and tested, using the Universal Numerical Control concept.
Most of machine-operated industrial processes implement electric machinery as their work sources,... more Most of machine-operated industrial processes implement electric machinery as their work sources, implying the necessary improvement of control techniques and power electronics drivers. Many years have passed since the control conflicts related to induction motors have been overcome through torque-flux control techniques so their advantages over direct current motors have made them to be the most common electric actuator found behind industrial automation. In fact, induction motors can be easily operated using a Direct Torque Control (DTC). Since, it is based on a hysteresis control of the torque and flux errors, its performance is characterized by a quick reaching of the set point, but also a high ripple on both torque and flux. In order to enhance that technique, this study introduces a novel hybrid fuzzy controller with artificial hydrocarbon networks (FMC) that is used in a Space Vector Pulse Width Modulation (SVPWM) technique, so-called FMC-SVPWM-DTC. In fact, this study describes the proposal and its design method. Experimental results over a velocity-torque cascade topology proved that the proposed FMC-SVPWM-DTC responses highly effective almost suppressing rippling in torque and flux. It also performed a faster speed response than in a conventional DTC. In that sense, the proposed FMC-SVPWM-DTC can be used an alternative approach for controlling induction motors.
Introduction. Teaching industrial engineering in the second decade of the 21st century requires p... more Introduction. Teaching industrial engineering in the second decade of the 21st century requires problem-solving and decision-making competencies oriented towards sustainable development. The growth of information metrics, the Internet of Things, virtual and augmented reality, and Artificial Intelligence bring more diverse, complex and imprecise challenges. This article aims to show a framework employing Challenge-based-learning, Project-based-learning and Computer-Aided technologies as dynamic resources supporting the comprehensive teaching of industrial engineers for industrial solutions oriented towards sustainable development. Materials and Methods. Our research involved a systemic analysis of the framework variables, the stages, and the partial results of its application in three academic years research. We selected several case studies to evaluate the professional competencies related to Sustainable Development Goals of industrial engineering students, using active learning too...
Higher education methods need to evolve because the new generations of students are learning in d... more Higher education methods need to evolve because the new generations of students are learning in different ways. One way is by adopting emergent technologies, new learning methods and promoting the maker movement. As a result, Tecnologico de Monterrey is developing Open Innovation Laboratories as an immediate response to educational challenges of the world. This paper presents an Open Innovation Laboratory for Rapid Realization of Sensing, Smart and Sustainable Products (S<sup>3</sup> Products). The Open Innovation Laboratory is composed of a set of specific resources where students and teachers use them to provide solutions to current problems of priority sectors through the development of a new generation of products. This new generation of products considers the concepts Sensing, Smart, and Sustainable. The Open Innovation Laboratory has been implemented in different courses in the context of New Product Development (NPD) and Integrated Manufacturing Systems (IMS) at T...
A novel metaheuristic optimization method is proposed based on an earthquake that is a geology ph... more A novel metaheuristic optimization method is proposed based on an earthquake that is a geology phenomenon. The novel Earthquake Algorithm (EA) proposed, adapts the principle of propagation of geology waves P and S through the earth material composed by random density to ensure the dynamic balance between exploration and exploitation, in order to reach the best solution to optimization complex problems by searching for the optimum into the search space. The performance and validation of the EA are compared against the Bat Algorithm (BA) and the Particle Swarm Optimization (PSO) by using 10 diverse benchmark functions. In addition, an experimental engineering application is implemented to evaluate the proposed algorithm. Early results show a feasibility of the proposed method with a clearly constancy and stability. It is important highlight the fact that the main purpose of this paper is to present a new line of research, which is opened from the novel EA.
Resumen. En este caso de estudio se presenta el diseño de un prototipo funcional de un invernader... more Resumen. En este caso de estudio se presenta el diseño de un prototipo funcional de un invernadero hidropónico inteligente que permite cultivar frutos, como el jitomate, durante cualquier época del año, manipulando variables específicas como la temperatura y la humedad del microclima dentro del invernadero. Los objetivos del presente caso estudio son analizar las partes que componen el prototipo como es la estructura del invernadero. Se analiza de manera particular el efecto que el viento de la zona provoca sobre esta, así como describir e implementar diferentes técnicas de control básico e inteligente para manipular el microclima en el invernadero. La metodología a seguir inicia por describir las características del cultivo, las condiciones climáticas de la zona, ubicación del invernadero, orientación, material de la estructura, la cubierta y la cimentación, además de implementar dispositivos para la automatización, técnicas de control y herramientas de simulación como Matlab ® y LabVIEW™, que se aplican para la generación y manipulación del microclima. Los resultados muestran características mecánicas como los desplazamientos, los esfuerzos, las tensiones, los momentos o las fuerzas de reacción de los invernaderos con estructuras tipo túnel con cenital, mariposa, diente de sierra, multi-túnel, parral capilla y sombrero chino, para determinar la más factible a ser construida respecto al clima de la Ciudad de México. También se describe la simulación del comportamiento estructural y del sistema de control inteligente del invernadero que se construyó en el Instituto Tecnológico y de Estudios Superiores de Monterrey campus Ciudad de México (ITESM CCM).
This work shows an approach to find an efficient operation income zone in technology transfer, as... more This work shows an approach to find an efficient operation income zone in technology transfer, as it is known to find an optimal operation zone different factors have to be included in the university model in order to obtain a prediction of different operation zones. Actually it is difficult to have a model to define the main factors that impact the efficiency of the technology transfer process, thus this model based on artificial neural networks, and a human expert is able to find the main factors that affect the efficiency in the technology transfer process. The information for training and validating the model is conventional; therefore the results are applied to define the technology process based in the main factors. In this case an artificial intelligence model (AIM) and the human expert general interpretation (HEI) is applied to obtain a new university model to predict the efficient income zone, this model is the first attempt in order to obtain a model that provides more inf...
Electric AC drives in manufacturing processes are well known and extensively studied. Speed loops... more Electric AC drives in manufacturing processes are well known and extensively studied. Speed loops can be commonly constructed through a decoupling method like Direct Torque Control (DTC) or Field Oriented Control (FOC) and a PID controller, which lacks of robustness towards torque variations. In this work a robust speed controller is incorporated to a DTC; its robustness is applied to the settling time of the speed when the system is subjected to different load conditions, which vary from a low value to nearly its maximum. DTC-speed loop is linearly modeled through least squares identification method and its uncertainties are overcome through Quantitative Feedback Theory (QFT). Control objectives are achieved and simulated results are presented together with a traditional PI controller perspective.
Quadrotors are nonlinear systems that can be controlled by human experts. Since the mathematical ... more Quadrotors are nonlinear systems that can be controlled by human experts. Since the mathematical models of Quadrotors are quite complex, the expert knowledge may be one way to come to a solution for controlling Quadrotors. However, human experts make occasionally mistakes, and thus some linguistic rules used in the controller may be false or redundant. Hence, fuzzy logic type 2 optimized by ANFIS (Adaptive Neuro-Fuzzy Inference Systems), which can deal with uncertainties, could be applied to control Quadrotors. ANFIS can optimize the number of linguistic rules and the domain of membership functions could be adjusted automatically. In addition, ANFIS should also be capable of identifying bad rules so the digital system (micro-controller) can decrease the computational resources required for implementing the fuzzy logic controller type 2. The controller designed can accomplish excellent experimental results when it is reduced by an ANFIS system. To confirm robustness in the fuzzy logic controller a noise signal was added in the position control loop for the Quadrotor. Besides, a comparison between fuzzy logic controller type 2 tuned by an expert and Fuzzy Logic type 2 optimized by an ANFIS is illustrated. Experimental results confirmed the good response reached when fuzzy logic type 2 optimized by ANFIS is deployed.
IFIP Advances in Information and Communication Technology, 2013
Green Virtual Enterprise Breeding Environments and their Reverse-Green Virtual Enterprises, as dy... more Green Virtual Enterprise Breeding Environments and their Reverse-Green Virtual Enterprises, as dynamic reverse supply networks, represent a promising paradigm to face the reverse logistics and end-of-life manufacturing challenges towards closed-loop industrial processes, closed-loop supply networks and sustainable industrial development models. This paper explores different collaborative product recovery business opportunities and strategies for capturing current missed value at the end-of-lifecycle with new activities, relationships and network configurations, put forward based on the disciplines of Industrial Ecology, Collaborative Networks and Lifecycle Management.
The following ongoing research work intends to highlight the relevant contributions that Green Vi... more The following ongoing research work intends to highlight the relevant contributions that Green Virtual Enterprise Breeding Environments (GVBEs) can have in the development of new sustainable industrial development models, able to address the threefold sustainability challenges of environmental protection, economic growth and social progress by means of collaborative networks and systems. Focusing on a well-integrated socio-technical strategy, the Sustainable Development Maturity Model for GVBEs proposes a new generation of [virtual] industrial ecosystems contributing to the eco-restructuring of industrial processes and systems in support of a new sustainable industrial landscape. Different ecoindustrial networking strategies are explored in this direction towards a Circular Economy.
This paper presents a complete study based on signal detection theory (SDT) for deciding the moti... more This paper presents a complete study based on signal detection theory (SDT) for deciding the motivation factors that motivate academic researchers to participate in the technology transfer process (university-industry relationship). Moreover, this study determines the researchers' perception about the motivations strategies designed in universities. The paper focuses on positive motivation factors such as academic prestige, competition, generation of resources, the solution of complex problems, professional challenge, personal gains, personal gratification and the solution of society problems. The negative motivation factors studied in the paper are as follows: innovation environment, time required, and lack of incentive and fear of contravening university policies. The importance of SDT lies in the fact that it is a theory that can deal with observer perception and the ways in which choices are made. This paper proposes fuzzy sets type 2 in SDT to expand its potential and understand the decision of the researchers during the technology transfer process under conditions of uncertainty. Although fuzzy type 1 detection theory (FDT) allows signals to overlap (non-binary description), a complete representation of uncertainty is not incorporated. Thus, fuzzy type 2 signal detection theory (FDT2) is proposed to model the uncertainties and noise condition under technology transfer process. High standards of motivation can maintain and attract competent researchers at universities; thus, this paper deals in a deep fashion with all the main aspects about those motivation factors using FDT2.
This paper describes the implementation of a new teaching technique called: "Entrepreneurship-bas... more This paper describes the implementation of a new teaching technique called: "Entrepreneurship-based Learning (ABE)" within the framework of an Educational Model of Active Learning. The ABE is an enriched didactic technique, both for students and for society, to focus their efforts on solving a real problem, and serve as a starting point for a group of students to understand and practice all that entails for becoming an entrepreneur. The ABE is without a doubt a transcendental teaching technique, since it develops new forms of capitalizing knowledge and experience, and in turn generates transferable knowledge that can be replicated in other educational settings.
A novel approach to the development of a manufacturing infonnation model. which forms part of a C... more A novel approach to the development of a manufacturing infonnation model. which forms part of a CAE system for simultaneous engineering is presented. The combined use of reference models (CIM-OSA and RM-ODP), an object orienred methodology (Booch). a function modelling method (IDEFO),an infonnation modelling language (EXPRESS). and computer tools is reported. The importance of using reference models for the definition. design implementation of CAE systems is outlined. Modelling methodologies that effectively map the specification of the reference models are described and theeir usnge is explnined.
American Journal of Engineering and Applied Sciences, 2014
This study shows the latest advances in the application of intelligent control to the inverted-pe... more This study shows the latest advances in the application of intelligent control to the inverted-pendulum problem. A complete review regarding intelligent control design is presented in this study in order to show the most important artificial intelligence methods used for controlling an Inverted-Pendulum. Also this study proposed the use of a neural-fuzzy-with-genetic-algorithms controller for the inverted pendulum problem which gives good results. Conventional controllers are presented in order to observe implementation problems. The study goes deeply in the details that have to take into account in order to understand design problems and limitations.
This document presents the design of an algorithm that takes on its basis: reinforcement learning... more This document presents the design of an algorithm that takes on its basis: reinforcement learning, learning from demonstration and most importantly Artificial Immune Systems. The main advantage of this algorithm named CODA (Cognition from Data). Is; it can learn from limited data samples-that is given a single example and the algorithm will create its own knowledge. The algorithm imitates from the Natural Immune System the clonal procedure for obtaining a repertoire of antibodies from a single antigen. It also uses the self-organised memory in order to reduce searching time in the whole action-state space by searching in specific clusters. CODA algorithm is presented and explained in detail in order to understand how these three principles are used. The algorithm is explained with pseudocode, flowcharts and block diagrams. The clonal/mutation results are presented with a simple example. It can be seen graphically how new data that has a completely new probability distribution. Finally, the first application where CODA is used, a humanoid hand is presented. In this application the algorithm created affordable grasping postures from limited examples, creates its own knowledge and stores data in memory data in memory in order to recognise whether it has been on a similar situation.
Linear relationships Non-linear/ non-deterministic relationships Few elements Simple system Chaot... more Linear relationships Non-linear/ non-deterministic relationships Few elements Simple system Chaotic system Many elements Complicated system Complex system Many active elements Cellular automata Complex adaptive system G. Weichhart et al. / Computers in Industry xxx (2015) xxx-xxx 3 G Model COMIND-2705; No. of Pages 13
Abstract Nowadays, the micro-factory concept of downsizing production systems is essential to man... more Abstract Nowadays, the micro-factory concept of downsizing production systems is essential to manufacturing small products in sustainable growth. Concerning this, this paper presents the developments accomplished during the recent years at Tecnologico de Monterrey (Mexico) introducing new findings related to the design of reconfigurable micro-machine tools for micro-factories. It shows the framework related to the conceptualization of micro-factories for manufacturing system layouts based-on reconfigurable micro-machine tools, identifying the basic steps. The methodology for designing reconfigurable micro-machine tools is exposed, and a reconfigurable first-generation CNC micro- machine tool for micro-factories, is designed and tested, using the Universal Numerical Control concept.
Most of machine-operated industrial processes implement electric machinery as their work sources,... more Most of machine-operated industrial processes implement electric machinery as their work sources, implying the necessary improvement of control techniques and power electronics drivers. Many years have passed since the control conflicts related to induction motors have been overcome through torque-flux control techniques so their advantages over direct current motors have made them to be the most common electric actuator found behind industrial automation. In fact, induction motors can be easily operated using a Direct Torque Control (DTC). Since, it is based on a hysteresis control of the torque and flux errors, its performance is characterized by a quick reaching of the set point, but also a high ripple on both torque and flux. In order to enhance that technique, this study introduces a novel hybrid fuzzy controller with artificial hydrocarbon networks (FMC) that is used in a Space Vector Pulse Width Modulation (SVPWM) technique, so-called FMC-SVPWM-DTC. In fact, this study describes the proposal and its design method. Experimental results over a velocity-torque cascade topology proved that the proposed FMC-SVPWM-DTC responses highly effective almost suppressing rippling in torque and flux. It also performed a faster speed response than in a conventional DTC. In that sense, the proposed FMC-SVPWM-DTC can be used an alternative approach for controlling induction motors.
Introduction. Teaching industrial engineering in the second decade of the 21st century requires p... more Introduction. Teaching industrial engineering in the second decade of the 21st century requires problem-solving and decision-making competencies oriented towards sustainable development. The growth of information metrics, the Internet of Things, virtual and augmented reality, and Artificial Intelligence bring more diverse, complex and imprecise challenges. This article aims to show a framework employing Challenge-based-learning, Project-based-learning and Computer-Aided technologies as dynamic resources supporting the comprehensive teaching of industrial engineers for industrial solutions oriented towards sustainable development. Materials and Methods. Our research involved a systemic analysis of the framework variables, the stages, and the partial results of its application in three academic years research. We selected several case studies to evaluate the professional competencies related to Sustainable Development Goals of industrial engineering students, using active learning too...
Higher education methods need to evolve because the new generations of students are learning in d... more Higher education methods need to evolve because the new generations of students are learning in different ways. One way is by adopting emergent technologies, new learning methods and promoting the maker movement. As a result, Tecnologico de Monterrey is developing Open Innovation Laboratories as an immediate response to educational challenges of the world. This paper presents an Open Innovation Laboratory for Rapid Realization of Sensing, Smart and Sustainable Products (S<sup>3</sup> Products). The Open Innovation Laboratory is composed of a set of specific resources where students and teachers use them to provide solutions to current problems of priority sectors through the development of a new generation of products. This new generation of products considers the concepts Sensing, Smart, and Sustainable. The Open Innovation Laboratory has been implemented in different courses in the context of New Product Development (NPD) and Integrated Manufacturing Systems (IMS) at T...
A novel metaheuristic optimization method is proposed based on an earthquake that is a geology ph... more A novel metaheuristic optimization method is proposed based on an earthquake that is a geology phenomenon. The novel Earthquake Algorithm (EA) proposed, adapts the principle of propagation of geology waves P and S through the earth material composed by random density to ensure the dynamic balance between exploration and exploitation, in order to reach the best solution to optimization complex problems by searching for the optimum into the search space. The performance and validation of the EA are compared against the Bat Algorithm (BA) and the Particle Swarm Optimization (PSO) by using 10 diverse benchmark functions. In addition, an experimental engineering application is implemented to evaluate the proposed algorithm. Early results show a feasibility of the proposed method with a clearly constancy and stability. It is important highlight the fact that the main purpose of this paper is to present a new line of research, which is opened from the novel EA.
Resumen. En este caso de estudio se presenta el diseño de un prototipo funcional de un invernader... more Resumen. En este caso de estudio se presenta el diseño de un prototipo funcional de un invernadero hidropónico inteligente que permite cultivar frutos, como el jitomate, durante cualquier época del año, manipulando variables específicas como la temperatura y la humedad del microclima dentro del invernadero. Los objetivos del presente caso estudio son analizar las partes que componen el prototipo como es la estructura del invernadero. Se analiza de manera particular el efecto que el viento de la zona provoca sobre esta, así como describir e implementar diferentes técnicas de control básico e inteligente para manipular el microclima en el invernadero. La metodología a seguir inicia por describir las características del cultivo, las condiciones climáticas de la zona, ubicación del invernadero, orientación, material de la estructura, la cubierta y la cimentación, además de implementar dispositivos para la automatización, técnicas de control y herramientas de simulación como Matlab ® y LabVIEW™, que se aplican para la generación y manipulación del microclima. Los resultados muestran características mecánicas como los desplazamientos, los esfuerzos, las tensiones, los momentos o las fuerzas de reacción de los invernaderos con estructuras tipo túnel con cenital, mariposa, diente de sierra, multi-túnel, parral capilla y sombrero chino, para determinar la más factible a ser construida respecto al clima de la Ciudad de México. También se describe la simulación del comportamiento estructural y del sistema de control inteligente del invernadero que se construyó en el Instituto Tecnológico y de Estudios Superiores de Monterrey campus Ciudad de México (ITESM CCM).
This work shows an approach to find an efficient operation income zone in technology transfer, as... more This work shows an approach to find an efficient operation income zone in technology transfer, as it is known to find an optimal operation zone different factors have to be included in the university model in order to obtain a prediction of different operation zones. Actually it is difficult to have a model to define the main factors that impact the efficiency of the technology transfer process, thus this model based on artificial neural networks, and a human expert is able to find the main factors that affect the efficiency in the technology transfer process. The information for training and validating the model is conventional; therefore the results are applied to define the technology process based in the main factors. In this case an artificial intelligence model (AIM) and the human expert general interpretation (HEI) is applied to obtain a new university model to predict the efficient income zone, this model is the first attempt in order to obtain a model that provides more inf...
Electric AC drives in manufacturing processes are well known and extensively studied. Speed loops... more Electric AC drives in manufacturing processes are well known and extensively studied. Speed loops can be commonly constructed through a decoupling method like Direct Torque Control (DTC) or Field Oriented Control (FOC) and a PID controller, which lacks of robustness towards torque variations. In this work a robust speed controller is incorporated to a DTC; its robustness is applied to the settling time of the speed when the system is subjected to different load conditions, which vary from a low value to nearly its maximum. DTC-speed loop is linearly modeled through least squares identification method and its uncertainties are overcome through Quantitative Feedback Theory (QFT). Control objectives are achieved and simulated results are presented together with a traditional PI controller perspective.
Quadrotors are nonlinear systems that can be controlled by human experts. Since the mathematical ... more Quadrotors are nonlinear systems that can be controlled by human experts. Since the mathematical models of Quadrotors are quite complex, the expert knowledge may be one way to come to a solution for controlling Quadrotors. However, human experts make occasionally mistakes, and thus some linguistic rules used in the controller may be false or redundant. Hence, fuzzy logic type 2 optimized by ANFIS (Adaptive Neuro-Fuzzy Inference Systems), which can deal with uncertainties, could be applied to control Quadrotors. ANFIS can optimize the number of linguistic rules and the domain of membership functions could be adjusted automatically. In addition, ANFIS should also be capable of identifying bad rules so the digital system (micro-controller) can decrease the computational resources required for implementing the fuzzy logic controller type 2. The controller designed can accomplish excellent experimental results when it is reduced by an ANFIS system. To confirm robustness in the fuzzy logic controller a noise signal was added in the position control loop for the Quadrotor. Besides, a comparison between fuzzy logic controller type 2 tuned by an expert and Fuzzy Logic type 2 optimized by an ANFIS is illustrated. Experimental results confirmed the good response reached when fuzzy logic type 2 optimized by ANFIS is deployed.
IFIP Advances in Information and Communication Technology, 2013
Green Virtual Enterprise Breeding Environments and their Reverse-Green Virtual Enterprises, as dy... more Green Virtual Enterprise Breeding Environments and their Reverse-Green Virtual Enterprises, as dynamic reverse supply networks, represent a promising paradigm to face the reverse logistics and end-of-life manufacturing challenges towards closed-loop industrial processes, closed-loop supply networks and sustainable industrial development models. This paper explores different collaborative product recovery business opportunities and strategies for capturing current missed value at the end-of-lifecycle with new activities, relationships and network configurations, put forward based on the disciplines of Industrial Ecology, Collaborative Networks and Lifecycle Management.
The following ongoing research work intends to highlight the relevant contributions that Green Vi... more The following ongoing research work intends to highlight the relevant contributions that Green Virtual Enterprise Breeding Environments (GVBEs) can have in the development of new sustainable industrial development models, able to address the threefold sustainability challenges of environmental protection, economic growth and social progress by means of collaborative networks and systems. Focusing on a well-integrated socio-technical strategy, the Sustainable Development Maturity Model for GVBEs proposes a new generation of [virtual] industrial ecosystems contributing to the eco-restructuring of industrial processes and systems in support of a new sustainable industrial landscape. Different ecoindustrial networking strategies are explored in this direction towards a Circular Economy.
This paper presents a complete study based on signal detection theory (SDT) for deciding the moti... more This paper presents a complete study based on signal detection theory (SDT) for deciding the motivation factors that motivate academic researchers to participate in the technology transfer process (university-industry relationship). Moreover, this study determines the researchers' perception about the motivations strategies designed in universities. The paper focuses on positive motivation factors such as academic prestige, competition, generation of resources, the solution of complex problems, professional challenge, personal gains, personal gratification and the solution of society problems. The negative motivation factors studied in the paper are as follows: innovation environment, time required, and lack of incentive and fear of contravening university policies. The importance of SDT lies in the fact that it is a theory that can deal with observer perception and the ways in which choices are made. This paper proposes fuzzy sets type 2 in SDT to expand its potential and understand the decision of the researchers during the technology transfer process under conditions of uncertainty. Although fuzzy type 1 detection theory (FDT) allows signals to overlap (non-binary description), a complete representation of uncertainty is not incorporated. Thus, fuzzy type 2 signal detection theory (FDT2) is proposed to model the uncertainties and noise condition under technology transfer process. High standards of motivation can maintain and attract competent researchers at universities; thus, this paper deals in a deep fashion with all the main aspects about those motivation factors using FDT2.
This paper describes the implementation of a new teaching technique called: "Entrepreneurship-bas... more This paper describes the implementation of a new teaching technique called: "Entrepreneurship-based Learning (ABE)" within the framework of an Educational Model of Active Learning. The ABE is an enriched didactic technique, both for students and for society, to focus their efforts on solving a real problem, and serve as a starting point for a group of students to understand and practice all that entails for becoming an entrepreneur. The ABE is without a doubt a transcendental teaching technique, since it develops new forms of capitalizing knowledge and experience, and in turn generates transferable knowledge that can be replicated in other educational settings.
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2011
In this paper is presented the analysis of an induction motor in terms of its torque, load condit... more In this paper is presented the analysis of an induction motor in terms of its torque, load conditions and motor speed. An induction motor model is developed to study the motor speed and its torque responsiveness for different load requirements, for this is developed a constitutive law, which links electrical and physical parameters. An Adaptive Neuro-Fuzzy Inference System (ANFIS) model is then used to test the different load characteristics of the induction motor in study.
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2011
This paper presents the analysis, design and development of three intelligent open control system... more This paper presents the analysis, design and development of three intelligent open control systems: (1) temperature, (2) relative humidity, and (3) nutrients electrical conductivity-implemented in a sustainable greenhouse located at Tecnológico de Monterrey, Campus Ciudad de México. The intelligent controllers are based on a "Fuzzy C-Means Takagi-Sugeno" control type in order to deal with the nonlinear environmental conditions and variables inside the greenhouse. The proposed open control system was developed using an Intelligent Control Toolkit for LabVIEW™. The intelligent controls are based on an open loop control system that could be used under the boundaries of different crops. Finally, experimental results are shown in order to validate the correct performance of the controllers.
9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2012
This article presents the improvement of a PWM technique, called Space Vector PWM (SVPWM), using ... more This article presents the improvement of a PWM technique, called Space Vector PWM (SVPWM), using an Artificial Neural Network (ANN) to minimize the mathematic complexity involved with the SVPWM. The latter is a pulse-width modulation technique that is wide implemented to control AC electric motors. The results obtained from this research work will be used for further implementation of artificial intelligence techniques to control electric vehicle powertrains. Matlab is implemented for the ANN design and Labview for the FPGA programming and implementation.
Fuzzy C-Means Clustering Technique applied for Modeling Parameters of an Intelligent Greenhouse Open Control System, 2011
This paper presents the analysis, design and development of three intelligent open control system... more This paper presents the analysis, design and development of three intelligent open control systems: (1) temperature, (2) relative humidity, and (3) nutrients electrical conductivity-implemented in a sustainable greenhouse located at Tecnológico de Monterrey, Campus Ciudad de México. The intelligent controllers are based on a "Fuzzy C-Means Takagi-Sugeno" control type in order to deal with the nonlinear environmental conditions and variables inside the greenhouse. The proposed open control system was developed using an Intelligent Control Toolkit for LabVIEW™. The intelligent controls are based on an open loop control system that could be used under the boundaries of different crops. Finally, experimental results are shown in order to validate the correct performance of the controllers.
9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2012
This article presents the improvement of a PWM technique, called Space Vector PWM (SVPWM), using ... more This article presents the improvement of a PWM technique, called Space Vector PWM (SVPWM), using an Artificial Neural Network (ANN) to minimize the mathematic complexity involved with the SVPWM. The latter is a pulse-width modulation technique that is wide implemented to control AC electric motors. The results obtained from this research work will be used for further implementation of artificial intelligence techniques to control electric vehicle powertrains. Matlab is implemented for the ANN design and Labview for the FPGA programming and implementation.
IFAC Conference on Manufacturing Modelling, Management, and Control, 2013
Computational algorithms for modeling problems are widely used in control engineering systems. Se... more Computational algorithms for modeling problems are widely used in control engineering systems. Several algorithms for modeling systems are proposed in literature. However, they have some drawbacks like stability of algorithms and absence of information inside the model acting as black boxes. Recently, a novel technique called artificial hydrocarbon networks (AHNs) was proposed to improve the latter drawbacks in computational algorithms; but there is no training algorithm that specifies how to build the structure and tune all parameters involved on it. Thus, this paper introduces a new training algorithm for AHNs using an energy model of covalent bonds inspired on organic chemistry observations. Results report that this training algorithm can be used for designing the structure of AHNs while obtaining the parameter values, both at the same time.
2013 IFAC Conference on Manufacturing Modelling, Management, and Control, 2013
Computational algorithms for modeling problems are widely used in control engineering systems. Se... more Computational algorithms for modeling problems are widely used in control engineering systems. Several algorithms for modeling systems are proposed in literature. However, they have some drawbacks like stability of algorithms and absence of information inside the model acting as black boxes. Recently, a novel technique called artificial hydrocarbon networks (AHNs) was proposed to improve the latter drawbacks in computational algorithms; but there is no training algorithm that specifies how to build the structure and tune all parameters involved on it. Thus, this paper introduces a new training algorithm for AHNs using an energy model of covalent bonds inspired on organic chemistry observations. Results report that this training algorithm can be used for designing the structure of AHNs while obtaining the parameter values, both at the same time.
2012 IFAC conference on information Control Problems in Manufacturing, 2012
Increased manufacturing expenses and increased competition have made it an automation process to ... more Increased manufacturing expenses and increased competition have made it an automation process to improve the overall operational and energy efficiency at the manufacturing systems. Electric motors impact a wide range of manufacturing equipment, especially the manufacturing equipment that has an advance level of automation. An accurate real time simulation is required for predicting the high-quality motor performance and making the motor systems more reliable and easier to use inside of the complete manufacturing system. FPGAs for real simulation have become both increasingly powerful and increasingly affordable. As a result, the use of highly sophisticated hardware that not only could run high-fidelity simulation of electric motors but also this hardware allows getting result in real time. This paper shows real time simulation models of DC and AC machines on FPGAs in state space. Implementation of the real time numerical integration method with digital logic elements is presented and discussed using fixed point. A real-time simulation of DC and AC machines is carried out on FPGAs platform and real time results are shown. These results are compared to simulation results obtained through commercial off line simulation software.
9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2012
The present paper introduces a novel adaptive filtering for audio signals corrupted with white no... more The present paper introduces a novel adaptive filtering for audio signals corrupted with white noise. The audio filter is based on artificial hydrocarbon networks (AHNs), a novel approach inspired on organic chemistry for stability, well-forming and easy-spanning topologies. In that sense, an AHN-molecular structure adapts its parameters in a specific window to cancel signal noise from original audio sequence using the notion of filtering given by AHN-topologies. Results of the present approach show that artificial hydrocarbon networks can achieve audio filtering for noisy signals. Then, a comparison between AHN-filtering and FIR filtering is presented. In addition, the AHN-filtering is implemented on DSP NI-Speedy 33 hardware.
11th Mexican International Conference on Artificial Intelligence (MICAI), 2012
DC motors have been leading the field of adjustable speed drives for a long time due to its excel... more DC motors have been leading the field of adjustable speed drives for a long time due to its excellent control characteristics. This paper addresses a novel speed control application for DC motors gathering the features of Sliding Mode Control (SMC), Fuzzy Inference System (FIS), Neural Networks (NNs) and Genetic Algorithms (GAs). The main goal about combining these techniques is to create a robust speed controller avoiding the main disadvantage of SMC, the chattering. The design of the controller is implemented on a FPGA (Field Programmable Gate Array) and the steps for carrying out the implementation are described in detail. Finally, the results show a comparison between three different schemes of the designed controller.
11th Mexican International Conference on Artificial Intelligence (MICAI), 2012
The control of the power flow in a vehicle is a preponderant task for the correct vehicle perform... more The control of the power flow in a vehicle is a preponderant task for the correct vehicle performance. Therefore in this paper is developed the implementation of a fuzzy indirect vector control for the energy management of an EV powertrain. The main energy propulsion unit is a squirrel cage induction motor and the powertrain is simulated as the connections among motor, gear box, energy storage unit and wheels. Add to this it is taking into account for the simulation all the forces involved in the vehicle movement. Finally, simulations for a standard dri ving cycle are carried out and relevant conclusions are presented.
9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2012
This article presents the improvement of a PWM technique, called Space Vector PWM (SVPWM), using ... more This article presents the improvement of a PWM technique, called Space Vector PWM (SVPWM), using an Artificial Neural Network (ANN) to minimize the mathematic complexity involved with the SVPWM. The latter is a pulse-width modulation technique that is wide implemented to control AC electric motors. The results obtained from this research work will be used for further implementation of artificial intelligence techniques to control electric vehicle powertrains. Matlab is implemented for the ANN design and Labview for the FPGA programming and implementation.
6th IEEE International Conference on e-Learning in Industrial Electronics (ICELIE), 2012
This paper presents a full real time system for educational purposes which includes the hardware ... more This paper presents a full real time system for educational purposes which includes the hardware an d software descriptions to achieve a complete laboratory setup in order to teach induction motor drives. The induction motor drives schemes have sometimes similar operational and control blocks which can be called general blocks. In this paper the general blocks are developed and tested for generating a full real time system instead of a single induction motor electric drive scheme. These general blocks (GB) are used in both simulation and experimental design stages without substantial changes. Hence, a small number of GB is required in a basic electric drive course for the purpose of designing experimental electric drive knowledge. Not only do general blocks allow understanding the fundamental principles of electric drives, but also they could be applied for designing complex electric drives topologies. This laboratory setup allows evaluating the most important control blocks used in electric drives in a short period of time for understanding and developing complex control schemes as Space Vector Modulation, Direct Torque Control and V/F for electric drives. To implement the real time system a power evaluation boar d isolated was used as the main interface between the control system and the electric motor. The dsP ACE card was the platform for designing and implementing the real time system. A set of simulation and experimental results were conducted to validate the GB.
2013 IFAC Conference on Manufacturing Modelling, Management, and Control, 2013
Computational algorithms for modeling problems are widely used in control engineering systems. Se... more Computational algorithms for modeling problems are widely used in control engineering systems. Several algorithms for modeling systems are proposed in literature. However, they have some drawbacks like stability of algorithms and absence of information inside the model acting as black boxes. Recently, a novel technique called artificial hydrocarbon networks (AHNs) was proposed to improve the latter drawbacks in computational algorithms; but there is no training algorithm that specifies how to build the structure and tune all parameters involved on it. Thus, this paper introduces a new training algorithm for AHNs using an energy model of covalent bonds inspired on organic chemistry observations. Results report that this training algorithm can be used for designing the structure of AHNs while obtaining the parameter values, both at the same time.
2013 IFAC Conference on Manufacturing Modelling, Management, and Control, 2013
When we are dealing with online dynamical systems, i.e. Adaptive-Network-Based Fuzzy Inference Sy... more When we are dealing with online dynamical systems, i.e. Adaptive-Network-Based Fuzzy Inference Systems (ANFIS), one of the major problems is the time used into the learning process. In this way, Backpropagation algorithm is used for training the premise parameters in a hybrid learning procedure. However, it depends on parameters that must be tuned heuristically. This provides that, in some way, training is not useful completely. Nevertheless, fuzzy logic can be put into practice and assume parameters involved in the backpropagation algorithm could be treated as fuzzy elements. In this paper, we implement fuzzy logic controllers inside the backpropagation algorithm and expand this model for training Neural Networks and ANFIS to achieve convergence in short periods of time in order to decrease the time process on-line. At this point, LabVIEW will be used as platform to validate this approach.
2013 IFAC Conference on Intelligent Manufacturing Systems, 2013
Nowadays, protected agriculture has continually lagged because of the scarce and slow technologic... more Nowadays, protected agriculture has continually lagged because of the scarce and slow technological advances and unskilled labor. The implementation of intelligent greenhouses to improve the quality and quantity of crops allows a precise regulation of the environmental conditions inside the greenhouse considering the lifecycle of the crop within the control rules. The main objective of the present is to describe the stages of analysis, design and implementation of an intelligent greenhouse developed in the Tecnológico de Monterrey Campus Ciudad de México. The focus of this is based on the sustainable development approach considering a robust design that integrates reliable, simple, efficient, ecologic and low cost materials and systems with the aim of achieving the automation and control of the microenvironment. The reason of using artificial intelligence techniques over conventional methods, resides in the fact that the greenhouse model is highly nonlinear at many operating points.
International Conference on Mechatronics, Electronics and Automotive Engineering, 2013
The Limb Girdle Muscular Dystrophy (LGMD) is a heterogeneous group of muscle diseases; this is ma... more The Limb Girdle Muscular Dystrophy (LGMD) is a heterogeneous group of muscle diseases; this is manifested by a progressive loss of the strength of the muscles of the pelvic and shoulders girdles. Several devices that can compensate for the loss of some motors skills have been developed in support for the activities of patients presenting such dystrophy. Those devices include the pole or treadmill that can be used with an exoskeleton to improve the phase of displacement among other activities. This work shows a new mechanical design for a robotic-exoskeleton with seven movement axis, having as purpose to help people, with certain LGMD dystrophy or diseases characteristics, in generate movements of flexion/extension in the lower extremity joints and realize the gait cycle. All of the design movement's analysis is simulated in Solidworks® and OpenSim® software.
This paper shows the implementation of DTC (Direct Torque Control) voltage sensorless, over an in... more This paper shows the implementation of DTC (Direct Torque Control) voltage sensorless, over an induction machine by FPGA real time system. LabVIEW TM Graphic programming, robust digital system and low power electronics make this implementation suitable for academic purposes, quick tests and demonstrations, achieving a reliable platform for improving electric machines teaching. Different platforms are already used in university laboratories for motor speed control of DC and AC machines, nevertheless, they are hardware-based or software-restricted and are not improved for easy comprehension of the students, on the other hand, direct torque control didactic systems are not common in laboratory for undergraduate students, thus this platform allows students understand dynamic controls for induction motors.
This work shows an approach to find an efficient operation income zone in technology transfer, as... more This work shows an approach to find an efficient operation income zone in technology transfer, as it is known to find an optimal operation zone different factors have to be included in the university model in order to obtain a prediction of different operation zones. Actually it is difficult to have a model to define the main factors that impact the efficiency of the technology transfer process, thus this model based on artificial neural networks, and a human expert is able to find the main factors that affect the efficiency in the technology transfer process. The information for training and validating the model is conventional; therefore the results are applied to define the technology process based in the main factors. In this case an artificial intelligence model (AIM) and the human expert general interpretation (HEI) is applied to obtain a new university model to predict the efficient income zone, this model is the first attempt in order to obtain a model that provides more information regarding the internal correlations between the invention disclosures, number of U. S patents issued, some internal factors and income. Although the expertise in the technology transfer office is a key factor to attempt finding the best operation zone to work under an efficient operation, it could be improved by using artificial intelligence algorithms in order to provide a better insight in relation to the complex technology transfer process road, and the information could be used to explain some internal factors of the technology transfer office of the university that could be enhanced, this model does not give all the answers, but it will present a good start point to find the efficient operation income zone. This approach requires both the AIM and HEI as the main components of the proposed model. This paper deals with tree scenarios: Institutions that over file (file as much as possible, and statistics will deliver the big hit), Institutions that under file (also near term focused, also focused on cost, risk adverse, driven by near term deal flow), and Institutions that are income efficient (balanced strategy based on the institution's core competencies). Although the study of the technology transfer process involves different external conditions such as people, politics and so on. This paper focuses mainly on well define parameters: invention disclosures and issued patents.
International Conference on Mechatronics, Electronics and Automotive Engineering, 2013
This paper presents a digital proportional-integral controller implementation for a Coupled Tanks... more This paper presents a digital proportional-integral controller implementation for a Coupled Tanks System for liquid level control. The model identification is done by sinusoidal signal at different frequencies, as result the bode plot obtained is applied for designing the controller. One of the main advantages of programming the digital controller in Labview is the possibility of sending small gains which allow to get a better performance for fixing the parameters: settling time and overshoot. Since the system is nonlinear the mathematical model is also presented to compare with the experimental model obtained. The obtained results on simulation are shown as well as the implementation of two PI controllers one in the control module that has the tanks system used (CE105MV) and another in Labview.
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Papers by Arturo Molina