Measurement of Water Fraction in Liquid Hydro‐Carbons Using ECT Sensor. [AIP Conference Proceedin... more Measurement of Water Fraction in Liquid Hydro‐Carbons Using ECT Sensor. [AIP Conference Proceedings 914, 705 (2007)]. Syed Faisal Ahmed Bukhari, Idris Ismail, Wuqiang Yang. Abstract. In the oil industry, it is important to ...
This paper presents an implementation of Multiple Generalized Predictive Control (MGPC) based a N... more This paper presents an implementation of Multiple Generalized Predictive Control (MGPC) based a Neuro-fuzzy model to control a real time gaseous nonlinear process. Firstly, a Neuro-fuzzy model, which describes the dynamic characteristics of the process is identified and optimized. Because the consequent part of the identified Neurofuzzy model is represented as a form of several Auto-Regressive Exogenous (ARX) sub models, MGPC are then designed based on the ARX sub models to work collaboratively to control the process. To validate the improvement of the proposed control strategy, two real time closed loop tests, referred as set-point tracking and disturbance rejection are investigated. In both tests, the performances of the proposed MGPC are benchmarked to the performances of traditional single GPC, which is designed based on a single ARX model. Results from the comparison show that the MGPC based Neuro-fuzzy model is able to improve the performance of nonlinear control system.
Page 1. i KEBERKESANAN KAEDAH HAFAZAN DI PUSAT TAHFIZ PENYELIDIK-PENYELIDIK: USTAZ ABDUL HAFIZ BI... more Page 1. i KEBERKESANAN KAEDAH HAFAZAN DI PUSAT TAHFIZ PENYELIDIK-PENYELIDIK: USTAZ ABDUL HAFIZ BIN HAJI ABDULLAH PROF. MADYA AJMAIN BIN SAFAR USTAZ MOHD ISMAIL BIN MUSTARI USTAZ AZHAR BIN MUHAMMAD USTAZ IDRIS BIN ISMAIL ...
Tomographic analysis of the behavior of waxy crude oil in pipelines is important to permit approp... more Tomographic analysis of the behavior of waxy crude oil in pipelines is important to permit appropriate corrective actions to be taken to remediate the wax deposit layer before pipelines are entirely plugged. In this study, a non-invasive/non-intrusive electrical capacitance tomography (ECT) system has been applied to provide real-time visualization of the formation of paraffin waxes and to measure the amount of wax fraction from the Malay Basin waxy crude oil sample under the static condition. Analogous expressions to estimate the wax fraction of the waxy crude oil across the temperatures range of 30–50 °C was obtained by using Otsu’s and Kuo’s threshold lgorithms. Otsu’s method suggested that the wax fraction can be estimated by the correlation coefficient =0.0459T3−5.3535T2+200.36T−2353.7 while Kuo’s method provides a similar correlation with =0.0741T3−8.4915T2+314.96T−3721.2. These correlations show good agreements with the results which are obtained from the conventional weighting method. This study suggested that Kuo’s threshold algorithm is more promising when integrated into the ECT system compared to Otsu’s algorithm because the former provides higher accuracy wax fraction measurement results below the wax appearance temperature for waxy crude oil.This study is significant because it serves as a preliminary investigation for the application of ECT in the oil and gas industry for online measurement and detection of wax fraction without causing disturbance to the process flow.
This paper presents a systematic approach to the design of optimal Generalized Binary Noise (GBN)... more This paper presents a systematic approach to the design of optimal Generalized Binary Noise (GBN) sequences as excitation inputs for control relevant identification of MIMO systems. The research proposes a method to derive the GBN signals which are able to extract the main characteristics of a MIMO dynamic system in frequency bandwidth that is important for control purpose. The frequency interval is specified based on prior knowledge of the system which is obtained through preliminary tests such as step test. The optimal GBN sequences are then designed by driving the signal's power spectrum to maximize the signal energy in the frequency range. To validate the improvement of the proposed method as compared to experience based approaches, a case study on a real time MIMO system is investigated. Results from applying the proposed method of designing GBN sequences for identification and Model Predictive Control (MPC) of the system show that the proposed method is attractive choice for control relevant system identification.
2010 International Conference on Intelligent and Advanced Systems, 2010
Distillation columns are important unit operations in chemical process plants. This paper reviews... more Distillation columns are important unit operations in chemical process plants. This paper reviews some techniques of modeling and simulation of distillation columns and describes a model for a lab-scale binary continuous distillation column. The focus is on the dynamic behavior of the product compositions under feed disturbances. The simulation results show that the composition responses to disturbances are close to the response of a first order system. The response to change in feed composition has larger gain than the response to change in feed flow rate. The paper also compares the simulation results with some of other works.
This paper presents a systematic approach to the design of optimal Generalized Binary Noise (GBN)... more This paper presents a systematic approach to the design of optimal Generalized Binary Noise (GBN) sequences as excitation inputs for control relevant identification of MIMO systems. The research proposes a method to derive the GBN signals which are able to extract the main characteristics of a MIMO dynamic system in frequency bandwidth that is important for control purpose. The frequency interval is specified based on prior knowledge of the system which is obtained through preliminary tests such as step test. The optimal GBN sequences are then designed by driving the signal's power spectrum to maximize the signal energy in the frequency range. To validate the improvement of the proposed method as compared to experience based approaches, a case study on a real time MIMO system is investigated. Results from applying the proposed method of designing GBN sequences for identification and Model Predictive Control (MPC) of the system show that the proposed method is attractive choice for control relevant system identification.
2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014
ABSTRACT The reliability and availability of the metering system plays a crucial part in the gas ... more ABSTRACT The reliability and availability of the metering system plays a crucial part in the gas transportation system because it affects the billing integrity between the gas supplier and their customers. A slight error in measurement will lead to significant monetary impact. Therefore, the challenge lies in building an online verification system that is able to check the accuracy of instruments in the metering system as well as to enable the verification system to reconstruct data in the case of faults on the instruments during operation time. This paper proposes hypotheses as well as a research plan to deal with these problems. The proposed idea invests in the behavior and relation among instruments based on empirical models, particularly Neural Network. Based on this model, the faults of instrument will be detected and unreliable data will be corrected.
2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014
ABSTRACT This research work is mainly focused on modeling and simulation of Electrical Capacitanc... more ABSTRACT This research work is mainly focused on modeling and simulation of Electrical Capacitance Tomography (ECT) sensor which comprises of 12 electrodes that are fabricated externally. The arrangement of electrodes is in the form of multi-plane (i.e. single and twin-plane electrodes). The Finite Element Method (FEM) can be utilized to simulate and compute capacitance values. This simulation method can provide sensitivity distribution and also helpful in obtaining the permittivity distribution for multi-phase flow. This paper focuses on the need for field simulation in the design and analysis of multi-electrode capacitance sensors for tomographic flow imaging. However, the real sensors are 3D but mostly a cross-section is modeled in 2D. The governing equations and the modeling approach for 2D single- and twin-plane ECT sensor using Electromagnetic Module of COMSOL Multiphysics are discussed in this manuscript. The single- and twin-plane simulation has been done for velocity and volume measurement respectively. An image reconstruction algorithm for ECT have presented in this work is based on the FEM. Simulation results are duly verified by an experimental data that has been obtained from the calculation of gas-oil two-phase flow.
2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012), 2012
ABSTRACT Electrical Capacitance Tomography (ECT) is a non-intrusive type of Process Tomography, w... more ABSTRACT Electrical Capacitance Tomography (ECT) is a non-intrusive type of Process Tomography, which is used for obtaining information about the distribution of the contents of closed pipes by measuring variations in the dielectric properties of the material inside the vessel. In process industries, the measurement of void fraction is considerably important for sustainable operations. The erroneous calculation of void fraction is inevitably be the cause of many industrial accidents such as sweet corrosions in sub-sea oil and gas pipelines and an inefficient process control of chemical plants. The customary approach separates the two-phases first and then measures the mixture as individual components that results in the disruption of incessant industrial processes. Due to these limitations, this study is aimed to analyze a non-invasive, experimental study by using Electrical Capacitance Tomography (ECT) and differential pressure (ΔP) technique on a flow loop. This paper presents the measurements of void fraction obtained from ECT and ΔP using air and deionized water. Based on these measurements, the future work is to apply these techniques on the waxy crude in order to determine the void fraction. The estimation of void fraction in a bubble column via ECT and ΔP shows the influence of superficial gas velocity on void fraction as a linear function. The outcome of the study could also be used to fully understand the phenomenon of void fraction in waxy crude based on varying the temperature and pressure.
Waxy crude oils are commonly found in many parts of the world and represent a huge amount of the ... more Waxy crude oils are commonly found in many parts of the world and represent a huge amount of the global oil reserves. Precipitation of paraffin waxes during various phases creates many problems in the oil industry. Therefore, waxy crude oils create many flow assurance issues essentially linked to them and understanding of the effect of relevant factors and phenomena are of great practical importance. In process industries, the measurement of void fraction is considerably important for sustainable operations and the erroneous calculation could be the cause of many industrial accidents. The customary approach separates the two-phases first and then measures the mixture as individual components. These methods are not favorable as they may result in the disruption of incessant industrial processes. Due to these limitations, this study is aimed to analyze the gel formation behavior of a waxy crude oil under static and dynamic cooling using non-invasive/non-intrusive experimental technique; i.e. Electrical Capacitance Tomography (ECT). This paper describes a fabrication of dualplane ECT sensor for testing of waxy crude oil at different temperature conditions. ECT images and raw data measurements have been obtained from the two planes are then normalised and then used for image reconstruction. The findings reported in this paper represent part of an ongoing investigation that may lead to develop a cross-correlation between the two planes. The outcome of the study could be used to fully understand the phenomenon of void fraction in waxy crude based on varying the temperature and also based on the design of ECT sensor.
2010 International Conference on Intelligent and Advanced Systems, 2010
Electrical Capacitance Tomography (ECT) is an efficient and inexpensive type of Process Tomograph... more Electrical Capacitance Tomography (ECT) is an efficient and inexpensive type of Process Tomography, which is being widely used nowadays. It is a technique for obtaining information about the distribution of the contents of closed pipes or vessels by measuring variations in the dielectric properties of the material inside the vessel. An experimental study was conducted by producing two-phase bubble flow regime in a vertical online ECT column. By changing the flow rates of air and water, different bubble flow regimes were established in the test loop which is then compared with (a) the flow observed through transparent section of the column and (b) the flow regime map for two-phase bubble flow. This study also measures the values of raw capacitance and voltages of air and water flow. The raw data obtained from ECT images are analysed by using distribution models and MATLAB which is in good agreement with the experimental data.
2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 2010
Abstract This experimental study uses Electrical Capacitance Tomography (ECT) technique for meas... more Abstract This experimental study uses Electrical Capacitance Tomography (ECT) technique for measuring the void fraction in two phase bubble flow regime. Void fraction was measured by using differential pressure calculations in a vertical fluid column (ECT sensor) with ...
2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014
ABSTRACT This paper presents a new approach to deal with the nonlinearity of control system by us... more ABSTRACT This paper presents a new approach to deal with the nonlinearity of control system by using Multi Model Predictive Control (MPC) strategies. The idea of this research is using Fuzzy model to divide the nonlinear system into several sub linear systems which can be applied linear MPC controller. Firstly, the structure of Takagi-Sugeno (T-S) Fuzzy model is developed and optimized using Subtractive Clustering method. Then the obtained T-S Fuzzy model is trained using Adaptive-Network Based Fuzzy System (ANFIS) to derive optimal the parameters of models. Since the obtained T-S Fuzzy model is described in number of rules (local model) which present linear relationship between outputs and inputs so that a number of linear MPC controller is designed for each local model. The global control signal is combined from control signal of each local MPC controller by parallel distributed compensation technique. The proposed multi MPC scheme applying for CSTR nonlinear process shows that Multi Model Predictive Control based on T-S Fuzzy model can improve the performance of conventional MPC in nonlinear control system.
Abstract-this paper presents a study of the approaches taken to model and simulate power systems ... more Abstract-this paper presents a study of the approaches taken to model and simulate power systems of an industrial plant. Even the best-designed electric systems occasionally experience short-circuits resulting in abnormally high currents. To predict the behavior of these short ...
Student Conference on Research and Development, 2002
In this paper. reactive navigation of an Autonomous Guided Vehicle (AGV) is described using the F... more In this paper. reactive navigation of an Autonomous Guided Vehicle (AGV) is described using the Fuzzy Logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the uncertainties and ambiguity of the information of the path that the robot traverses.
Measurement of Water Fraction in Liquid Hydro‐Carbons Using ECT Sensor. [AIP Conference Proceedin... more Measurement of Water Fraction in Liquid Hydro‐Carbons Using ECT Sensor. [AIP Conference Proceedings 914, 705 (2007)]. Syed Faisal Ahmed Bukhari, Idris Ismail, Wuqiang Yang. Abstract. In the oil industry, it is important to ...
This paper presents an implementation of Multiple Generalized Predictive Control (MGPC) based a N... more This paper presents an implementation of Multiple Generalized Predictive Control (MGPC) based a Neuro-fuzzy model to control a real time gaseous nonlinear process. Firstly, a Neuro-fuzzy model, which describes the dynamic characteristics of the process is identified and optimized. Because the consequent part of the identified Neurofuzzy model is represented as a form of several Auto-Regressive Exogenous (ARX) sub models, MGPC are then designed based on the ARX sub models to work collaboratively to control the process. To validate the improvement of the proposed control strategy, two real time closed loop tests, referred as set-point tracking and disturbance rejection are investigated. In both tests, the performances of the proposed MGPC are benchmarked to the performances of traditional single GPC, which is designed based on a single ARX model. Results from the comparison show that the MGPC based Neuro-fuzzy model is able to improve the performance of nonlinear control system.
Page 1. i KEBERKESANAN KAEDAH HAFAZAN DI PUSAT TAHFIZ PENYELIDIK-PENYELIDIK: USTAZ ABDUL HAFIZ BI... more Page 1. i KEBERKESANAN KAEDAH HAFAZAN DI PUSAT TAHFIZ PENYELIDIK-PENYELIDIK: USTAZ ABDUL HAFIZ BIN HAJI ABDULLAH PROF. MADYA AJMAIN BIN SAFAR USTAZ MOHD ISMAIL BIN MUSTARI USTAZ AZHAR BIN MUHAMMAD USTAZ IDRIS BIN ISMAIL ...
Tomographic analysis of the behavior of waxy crude oil in pipelines is important to permit approp... more Tomographic analysis of the behavior of waxy crude oil in pipelines is important to permit appropriate corrective actions to be taken to remediate the wax deposit layer before pipelines are entirely plugged. In this study, a non-invasive/non-intrusive electrical capacitance tomography (ECT) system has been applied to provide real-time visualization of the formation of paraffin waxes and to measure the amount of wax fraction from the Malay Basin waxy crude oil sample under the static condition. Analogous expressions to estimate the wax fraction of the waxy crude oil across the temperatures range of 30–50 °C was obtained by using Otsu’s and Kuo’s threshold lgorithms. Otsu’s method suggested that the wax fraction can be estimated by the correlation coefficient =0.0459T3−5.3535T2+200.36T−2353.7 while Kuo’s method provides a similar correlation with =0.0741T3−8.4915T2+314.96T−3721.2. These correlations show good agreements with the results which are obtained from the conventional weighting method. This study suggested that Kuo’s threshold algorithm is more promising when integrated into the ECT system compared to Otsu’s algorithm because the former provides higher accuracy wax fraction measurement results below the wax appearance temperature for waxy crude oil.This study is significant because it serves as a preliminary investigation for the application of ECT in the oil and gas industry for online measurement and detection of wax fraction without causing disturbance to the process flow.
This paper presents a systematic approach to the design of optimal Generalized Binary Noise (GBN)... more This paper presents a systematic approach to the design of optimal Generalized Binary Noise (GBN) sequences as excitation inputs for control relevant identification of MIMO systems. The research proposes a method to derive the GBN signals which are able to extract the main characteristics of a MIMO dynamic system in frequency bandwidth that is important for control purpose. The frequency interval is specified based on prior knowledge of the system which is obtained through preliminary tests such as step test. The optimal GBN sequences are then designed by driving the signal's power spectrum to maximize the signal energy in the frequency range. To validate the improvement of the proposed method as compared to experience based approaches, a case study on a real time MIMO system is investigated. Results from applying the proposed method of designing GBN sequences for identification and Model Predictive Control (MPC) of the system show that the proposed method is attractive choice for control relevant system identification.
2010 International Conference on Intelligent and Advanced Systems, 2010
Distillation columns are important unit operations in chemical process plants. This paper reviews... more Distillation columns are important unit operations in chemical process plants. This paper reviews some techniques of modeling and simulation of distillation columns and describes a model for a lab-scale binary continuous distillation column. The focus is on the dynamic behavior of the product compositions under feed disturbances. The simulation results show that the composition responses to disturbances are close to the response of a first order system. The response to change in feed composition has larger gain than the response to change in feed flow rate. The paper also compares the simulation results with some of other works.
This paper presents a systematic approach to the design of optimal Generalized Binary Noise (GBN)... more This paper presents a systematic approach to the design of optimal Generalized Binary Noise (GBN) sequences as excitation inputs for control relevant identification of MIMO systems. The research proposes a method to derive the GBN signals which are able to extract the main characteristics of a MIMO dynamic system in frequency bandwidth that is important for control purpose. The frequency interval is specified based on prior knowledge of the system which is obtained through preliminary tests such as step test. The optimal GBN sequences are then designed by driving the signal's power spectrum to maximize the signal energy in the frequency range. To validate the improvement of the proposed method as compared to experience based approaches, a case study on a real time MIMO system is investigated. Results from applying the proposed method of designing GBN sequences for identification and Model Predictive Control (MPC) of the system show that the proposed method is attractive choice for control relevant system identification.
2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014
ABSTRACT The reliability and availability of the metering system plays a crucial part in the gas ... more ABSTRACT The reliability and availability of the metering system plays a crucial part in the gas transportation system because it affects the billing integrity between the gas supplier and their customers. A slight error in measurement will lead to significant monetary impact. Therefore, the challenge lies in building an online verification system that is able to check the accuracy of instruments in the metering system as well as to enable the verification system to reconstruct data in the case of faults on the instruments during operation time. This paper proposes hypotheses as well as a research plan to deal with these problems. The proposed idea invests in the behavior and relation among instruments based on empirical models, particularly Neural Network. Based on this model, the faults of instrument will be detected and unreliable data will be corrected.
2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014
ABSTRACT This research work is mainly focused on modeling and simulation of Electrical Capacitanc... more ABSTRACT This research work is mainly focused on modeling and simulation of Electrical Capacitance Tomography (ECT) sensor which comprises of 12 electrodes that are fabricated externally. The arrangement of electrodes is in the form of multi-plane (i.e. single and twin-plane electrodes). The Finite Element Method (FEM) can be utilized to simulate and compute capacitance values. This simulation method can provide sensitivity distribution and also helpful in obtaining the permittivity distribution for multi-phase flow. This paper focuses on the need for field simulation in the design and analysis of multi-electrode capacitance sensors for tomographic flow imaging. However, the real sensors are 3D but mostly a cross-section is modeled in 2D. The governing equations and the modeling approach for 2D single- and twin-plane ECT sensor using Electromagnetic Module of COMSOL Multiphysics are discussed in this manuscript. The single- and twin-plane simulation has been done for velocity and volume measurement respectively. An image reconstruction algorithm for ECT have presented in this work is based on the FEM. Simulation results are duly verified by an experimental data that has been obtained from the calculation of gas-oil two-phase flow.
2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012), 2012
ABSTRACT Electrical Capacitance Tomography (ECT) is a non-intrusive type of Process Tomography, w... more ABSTRACT Electrical Capacitance Tomography (ECT) is a non-intrusive type of Process Tomography, which is used for obtaining information about the distribution of the contents of closed pipes by measuring variations in the dielectric properties of the material inside the vessel. In process industries, the measurement of void fraction is considerably important for sustainable operations. The erroneous calculation of void fraction is inevitably be the cause of many industrial accidents such as sweet corrosions in sub-sea oil and gas pipelines and an inefficient process control of chemical plants. The customary approach separates the two-phases first and then measures the mixture as individual components that results in the disruption of incessant industrial processes. Due to these limitations, this study is aimed to analyze a non-invasive, experimental study by using Electrical Capacitance Tomography (ECT) and differential pressure (ΔP) technique on a flow loop. This paper presents the measurements of void fraction obtained from ECT and ΔP using air and deionized water. Based on these measurements, the future work is to apply these techniques on the waxy crude in order to determine the void fraction. The estimation of void fraction in a bubble column via ECT and ΔP shows the influence of superficial gas velocity on void fraction as a linear function. The outcome of the study could also be used to fully understand the phenomenon of void fraction in waxy crude based on varying the temperature and pressure.
Waxy crude oils are commonly found in many parts of the world and represent a huge amount of the ... more Waxy crude oils are commonly found in many parts of the world and represent a huge amount of the global oil reserves. Precipitation of paraffin waxes during various phases creates many problems in the oil industry. Therefore, waxy crude oils create many flow assurance issues essentially linked to them and understanding of the effect of relevant factors and phenomena are of great practical importance. In process industries, the measurement of void fraction is considerably important for sustainable operations and the erroneous calculation could be the cause of many industrial accidents. The customary approach separates the two-phases first and then measures the mixture as individual components. These methods are not favorable as they may result in the disruption of incessant industrial processes. Due to these limitations, this study is aimed to analyze the gel formation behavior of a waxy crude oil under static and dynamic cooling using non-invasive/non-intrusive experimental technique; i.e. Electrical Capacitance Tomography (ECT). This paper describes a fabrication of dualplane ECT sensor for testing of waxy crude oil at different temperature conditions. ECT images and raw data measurements have been obtained from the two planes are then normalised and then used for image reconstruction. The findings reported in this paper represent part of an ongoing investigation that may lead to develop a cross-correlation between the two planes. The outcome of the study could be used to fully understand the phenomenon of void fraction in waxy crude based on varying the temperature and also based on the design of ECT sensor.
2010 International Conference on Intelligent and Advanced Systems, 2010
Electrical Capacitance Tomography (ECT) is an efficient and inexpensive type of Process Tomograph... more Electrical Capacitance Tomography (ECT) is an efficient and inexpensive type of Process Tomography, which is being widely used nowadays. It is a technique for obtaining information about the distribution of the contents of closed pipes or vessels by measuring variations in the dielectric properties of the material inside the vessel. An experimental study was conducted by producing two-phase bubble flow regime in a vertical online ECT column. By changing the flow rates of air and water, different bubble flow regimes were established in the test loop which is then compared with (a) the flow observed through transparent section of the column and (b) the flow regime map for two-phase bubble flow. This study also measures the values of raw capacitance and voltages of air and water flow. The raw data obtained from ECT images are analysed by using distribution models and MATLAB which is in good agreement with the experimental data.
2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 2010
Abstract This experimental study uses Electrical Capacitance Tomography (ECT) technique for meas... more Abstract This experimental study uses Electrical Capacitance Tomography (ECT) technique for measuring the void fraction in two phase bubble flow regime. Void fraction was measured by using differential pressure calculations in a vertical fluid column (ECT sensor) with ...
2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014
ABSTRACT This paper presents a new approach to deal with the nonlinearity of control system by us... more ABSTRACT This paper presents a new approach to deal with the nonlinearity of control system by using Multi Model Predictive Control (MPC) strategies. The idea of this research is using Fuzzy model to divide the nonlinear system into several sub linear systems which can be applied linear MPC controller. Firstly, the structure of Takagi-Sugeno (T-S) Fuzzy model is developed and optimized using Subtractive Clustering method. Then the obtained T-S Fuzzy model is trained using Adaptive-Network Based Fuzzy System (ANFIS) to derive optimal the parameters of models. Since the obtained T-S Fuzzy model is described in number of rules (local model) which present linear relationship between outputs and inputs so that a number of linear MPC controller is designed for each local model. The global control signal is combined from control signal of each local MPC controller by parallel distributed compensation technique. The proposed multi MPC scheme applying for CSTR nonlinear process shows that Multi Model Predictive Control based on T-S Fuzzy model can improve the performance of conventional MPC in nonlinear control system.
Abstract-this paper presents a study of the approaches taken to model and simulate power systems ... more Abstract-this paper presents a study of the approaches taken to model and simulate power systems of an industrial plant. Even the best-designed electric systems occasionally experience short-circuits resulting in abnormally high currents. To predict the behavior of these short ...
Student Conference on Research and Development, 2002
In this paper. reactive navigation of an Autonomous Guided Vehicle (AGV) is described using the F... more In this paper. reactive navigation of an Autonomous Guided Vehicle (AGV) is described using the Fuzzy Logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the uncertainties and ambiguity of the information of the path that the robot traverses.
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Papers by Idris Ismail