Papers by Sudheer Hanumanthakari
2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)
International Journal of Photoenergy
The choice of the optimal orientation of the solar panels is by far one of the most important iss... more The choice of the optimal orientation of the solar panels is by far one of the most important issues in the practical application of solar installations. The use of phase changing materials (PCMs) is an efficient approach of storing solar thermal energy. Because PCMs are isothermal in nature, they provide better density energy storage and the capacity to function across a wide temperature range. Unfortunately, this feature is very rare on various solar power panels; however, ignoring it can reduce the performance of the panels to unacceptable levels. The fact is that the angle of incidence of rays on the surface greatly affects the reflection coefficient and, consequently, the role of unacceptable solar energy. In this paper, a smart energy harvesting model was proposed. In the case of glass, when the angle of incidence varies vertically from its surface to 30, the reflection coefficient is practically unchanged and slightly less than 5%, i.e., more than 95% of the radiation goes in...
Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment
In the present scenario, the e-waste from the various electronic sectors has been increasing due ... more In the present scenario, the e-waste from the various electronic sectors has been increasing due to increased utilization of electric components. In this chapter, the bioleaching(biomining) process of a computer printed circuit board (CPCB) is illustrated to extract the metal components. Basic concepts for e-waste management, their impacts, and various e-waste treatment methods have been explained. The various existing conventional metal extraction methods for the wasted CPCB have also been explored. Definitions, types, cryogenic bioleaching (biomining), influencing factors, and procedures of the bioleaching process have been illustrated. The microbiological methods for the processing of e-waste, the selection of process parameters, and the optimization or maximization of metal extraction processes were demonstrated to promote the e-waste management processes.
International Journal of Photoenergy
Single-junction polymer solar cells have demonstrated exceptional power conversion efficiency. In... more Single-junction polymer solar cells have demonstrated exceptional power conversion efficiency. Interlayer adhesion will be critical in building flexible polymer solar cells since inorganic conveyance layers would surely break. Aluminium-doped zinc oxide modified by polydopamine has emerged as a viable electron transportation layer in polymer solar cells, enhancing mechanical qualities by offering a high degree of flexibility and adhesion to the active layer. Power conversion efficiency of 12.7% is achieved in nonfullerene polymer solar cells built on PBDB-T2F:IT-4F with aluminium-doped zinc oxide 1.5% polydopamine electron transporting layer. Furthermore, the device based on Ag-mesh wire-wound electrodes has a power conversion efficiency of 11.5% and retains more than 90% of original power conversion efficiency afterward 1500 cycles of bending. For implantable and adaptable polymer solar cells for wide areas, roll-to-roll fabrication of inorganic electron transport layers is advanta...
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)
The medical field requires constant updating and the usage of advanced technology. This is due to... more The medical field requires constant updating and the usage of advanced technology. This is due to the fact that different kinds of diseases as increased as the population of world has increased. S cientists and doctors try to come up with different types of preliminary tests and other diagnostic technologies to detect the presence of a disease in its early stages. Though the preliminary test for different health issues is different it all consists of the measurement of basic vital parameters like temperature and the d pressure etc. To ease this process this study aims the development a circuit which is capable of constantly monitoring the vitals of a patient and displaying the result to an attendant. The principal flow of the circuit is initiated by the sensors that are instantly fastened to the patient. The sensors continuously gather and transmit the patient's vital indicators to the node MCU model. The AWS cloud then receives data from the model. The platform compares the collected data to the specified value. If no anomalies are found, the cloud simply records the data before stopping. However, if there are any anomalies, the cloud orders the node MCU model to activate the emergency output gadgets, such as the buzzer and the LED, to immediately alert the attendant or the nurses. A website is also created, and it is utilised to display the patient's information as well as vital records. Along with the patient's vital signs, it also shows an emergency condition when one of the patients has certain irregularities in one or more of the parameters. The physicians and other staff can keep an eye on all the patients at once without having to frequently visit a specific room thanks to this display of emergency information. This system is anticipated to be enhanced in the future with additional capabilities including automated parameter control without human intervention. In other words, the temperature is regulated when the ambient humidity or the body's temperature is abnormal.
IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006
The main objective of this paper is to ameliorate the performance of direct torque control of ind... more The main objective of this paper is to ameliorate the performance of direct torque control of induction motor for a wide range of speed control using fuzzy logic. The major drawbacks of conventional direct torque control are high torque, flux ripples and poor dynamic response at low speed. In this paper the CDTC is improved by fuzzy logic switching controller and fuzzy logic duty cycle controller. In FDTC with FDCC the selected voltage vector is applied only for the duty cycle time period (δ) determined. Simulation results validate that the proposed scheme shows improved dynamic performance of the drive for a wide range of speed (0-100 rad/s) and the torque and flux ripples are reduced by 90% compared to CDTC.
2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
Intelligent Systems Reference Library, 2021
Blockchain Technology is gaining lot of attention in recent days due to its distinct characterist... more Blockchain Technology is gaining lot of attention in recent days due to its distinct characteristics like decentralization, reliability, security and data integrity. Many companies are researching the possibility of adapting Blockchain Technology in their respective domains to utilize the potential of blockchain to the fullest. In spite of its rapid growth very little is known about the state of the art of blockchain in educational sector. The book keeping process of degrees and certificates can be one such potential area where blockchain can play a major role. This chapter presents the detailed analysis of Blockchain Technology and its application in education. Its emphases on (i) Blockchain Technology and its diversified application (ii) Digital Signatures and (iii) Blockchain based educational solutions. This chapter also highlights the challenges of blockchain in education based on an intensive research.
Generally in every communication medium, error correction codes were employed for correcting the ... more Generally in every communication medium, error correction codes were employed for correcting the obtained errors that are caused in the data due to transmission. The essence of these codes is to add redundant bits using mathematical algorithms at the transmission end and decode the received data to retrieve the original data. This paper presents the design of a Multi bit Error Detection and Correction (MEDC) system which is utilized in the microprocessors along with memory that performs error detection as well as error correction of data which was written and was read from memory using Bose, Ray-Chaudhuri, Hocquenghem (BCH) codes. The proposed MEDC system is synthesized and also simulated through Vivado design suit 2018.3 and was implemented using Kintex-7 FPGA board. Compared with the obtained results with well-known error detection codes, the proposed method is utilized for improving the performance, increase the rate of the error detection and correction in the transmitted data.
2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), 2016
This paper presents implementation of Direct Torque and Flux control of induction machine using m... more This paper presents implementation of Direct Torque and Flux control of induction machine using modified switching table and Fuzzy Logic Controller. The major concern in DTFC is selection of the switching state vector in order to meet Torque and flux demand of the drive. Major disadvantage of Conventional DTFC is high flux and Torque ripples due to hysteresis controllers and switching table cannot produce accurate voltage vector. Fuzzy logic controller can divide the torque error, flux error and stator flux angle into smaller subsections which results in optimal selection of switching state there by reduction in torque and flux ripples. The proposed methods are evaluated using simulation by Matlab/Simulink.
International Review of Electrical Engineering (IREE), 2017
Introduction: Estrogen deficiency is now considered as post inflammatory state as it has been ass... more Introduction: Estrogen deficiency is now considered as post inflammatory state as it has been associated with elevation of various cytokines like IL-1 IL-6 and TNF-α, responsible for osteoclastogenesis. Role of IL-17 has been established in various inflammatory and auto-immune disorders associated with bone loss, we evaluated the levels of IL-17 with respect to estrogen in post menopausal women with and without osteoporosis. Material & Methods: Total 75 post menopausal females with mean age (58.17±5.94), between age group 45-75years were recruited. Females with history of natural menopause at least one year after the onset of menopause were enrolled. All patients underwent BMD measurement through Dual energy Xray absorptiometry (DEXA) scan and divided into two groups, Group A patients with osteoporosis and Group B without osteoporosis. Serum level of IL-17, IL-23 levels and Estrogen level were measured by standard quantitative sandwich ELISA kits. Results: Group A patients level of IL-17(48.49±8.34 pg/ml) and IL-23(91.28±9.89 pg/ml) was significantly higher than in group B patients with level of IL-17(19.55±7.11 pg/ml), IL-23 (44.56±11.36 pg/ml) while that of estrogen was significantly low in group A (31.80±12.57 pg/ml) in comparison to group B (40.39±20.88 pg/ml). Conclusion: We observed lower level of estrogen is associated with higher level of inflammatory cytokines IL-17 and IL-23, thus further strengthening the concept that post menopausal osteoporosis is inflammatory disorder as estrogen deficiency results in elevation of inflammatory cytokines.
Proceedings. National Power Engineering Conference, 2003. PECon 2003.
The five-phase induction motor inherently has the minimal torque ripple. However, when it is cont... more The five-phase induction motor inherently has the minimal torque ripple. However, when it is controlled by direct torque control (DTC) technique, the torque ripple increases due to the presence of a hysteresis torque comparator. The classical five-level torque comparator is presented in the previous literatures to control the torque ripple. However, this comparator has the drawback of wrong selection of zero voltage vectors inside the inner band on the positive side of the comparator, which enables the torque ripple to increase and dc-link utilization to decrease. In this paper, in order to reduce the torque ripple and to increase the dc-link utilization, a modified five-level torque comparator is proposed, which selects either medium or small voltage vectors instead of zero voltage vectors inside the inner band on the positive side of the comparator. In addition to torque ripple reduction and improvement in dc-link utilization, the proposed comparator significantly improves the quality of phase current. All the available 32 voltage vectors are selected through the proposed five-level torque comparator based on the location of x-y stator flux in order to eliminate the x-y stator flux so as to obtain reduced distortion in the phase current. By employing all the available voltage vectors, the freedom of utilization of all voltage vectors in the five-phase induction motor DTC drive is availed. The proposed five-level torque comparator is compared to its classical five-level counterpart through simulation and experimental results in order to validate the proposed DTC strategy.
International Conference on Electrical, Control and Computer Engineering 2011 (InECCE), 2011
... without Battery Storage for Stand-Alone Applications S.Senthil Kumar Ganesh Dharmireddy P.Raj... more ... without Battery Storage for Stand-Alone Applications S.Senthil Kumar Ganesh Dharmireddy P.Raja S.Moorthi* ... In this manner, the peak power tracker continuously seeks the peak power condition. MPP is tracked by using DC-DC converters. ...
Automatica, 2005
This article presents a new speed and flux estimation algorithm for high-performance direct torqu... more This article presents a new speed and flux estimation algorithm for high-performance direct torque control (DTC) induction motor drives based on model reference adaptive systems (MRAS) observers using linear artificial neural networks (ANNs). Two completely new improvements of MRAS speed and flux observers are presented here: the first is a solution to the open-loop integration problem in the reference model, based on the voltage model of the induction machine, by means of a new adaptive neural integrator, the second is the employment of a new adaptation law in the ANN adaptive model, based on the total least-squares (TLS) technique. In particular, the adaptive neural integrator is based on two adaptive noise filters which completely cancel any DC drift present in the voltage or current signals to be integrated. This neural integrator does not need any a priori training of its two only neurons, adapting itself on-line. With regard to the ANN-based adaptive model, since the most suitable least-square technique to be used for training is the TLS technique, here the neuron is trained on-line by means of a TLS EXIN algorithm which is the only neural network able to solve a TLS problem recursively. Also the TLS EXIN algorithm does not require any a priori training, since it adapts itself recursively on-line. Moreover, to improve the dynamical performances of the speed loop of the drive, the adaptive model has been used as predictor, i.e. without any feedback between its outputs and its inputs. The sensorless algorithm has been verified experimentally both on the classic DTC technique and on the DTC-SVM (space vector modulation), by adopting a proper test setup. The speed observer has been tested in the most challenging operating conditions. The experimental results show that the dynamical performances of the sensorless drive are comparable or even better than those obtained with the corresponding DTC drives with encoders as for the medium to high-speed ranges. As for low-speed ranges, the presented sensorless DTC algorithm outcomes the performance presented in the literature for MRAS systems, thus permitting to have an accurate estimation equal or better than that obtainable with more complex observers. Finally, experimental results show that the MRAS speed observer is robust to load torque perturbations and permits zero-speed operation at no-load conditions.
– Direct torque control (DTC) is a simple and robust control algorithm for high performance indus... more – Direct torque control (DTC) is a simple and robust control algorithm for high performance industrial applications. The conventional DTC suffers from major drawbacks like high torque and flux ripples, variable switching frequency, current distortions during changes in switching sector and poor performance during low speed operations. The problem of the variable switching frequency and the reduction in torque and flux ripples can be achieved using space vector modulation based direct torque control (SVM-DTC). The dynamic performance of the SVM-DTC is improved by replacing the constant gain PI speed, flux and torque controllers with fuzzy controllers. In this paper, both SVM-DTC with PI controller and fuzzy controllers are implemented using FPGA. The complete VHDL code for both DTC with PI and Fuzzy controllers is initially developed and simulated and then synthesized using Xilinx ISE 14.3 design tool. The complete developed code of the proposed algorithm is implemented on Spartan 6 XC6SLX25 board. The experimental results depict that an improved dynamic response of the induction motor is achieved in the SVM-DTC of the induction motor using fuzzy logic controllers.
This paper presents improvements in Direct Torque control of induction motor using Fuzzy logic sw... more This paper presents improvements in Direct Torque control of induction motor using Fuzzy logic switching controller (FDTC). The conventional DTC (CDTC) and FDTC drive performance is compared using Conventional PI, Fuzzy controller and Neural Network controllers. The major disadvantages of CDTC are high torque and flux ripples in steady state operation of the drive, inferior performance at low speed operation and variable switching frequency. The presence of hysteresis bands is the major reason for high torque and flux ripples in CDTC. In FDTC the hysteresis band and switching table are replaced by Fuzzy logic switching controller. Using fuzzy logic torque, stator flux space are divided into smaller subsections which results in precise and optimal selection of switching state to meet load torque. In high performance drives accurate tuning of PI speed controller is required. The conventional PI controller cannot adapt to the variation in model parameters. Artificial intelligence based fuzzy controller and neural network controller are compared with PI controller for both CDTC and FDTC of Induction machine. The proposed schemes are developed in Matlab/Simulink environment. Simulation results shows reduction in torque and flux ripples in FDTC and dynamic performance of the drive at low speeds and sudden change in load torque can be improved using Fuzzy logic controller compared to PI and neural network controller.
In this paper improvements in dynamic and steady state performance of direct torque and flux cont... more In this paper improvements in dynamic and steady state performance of direct torque and flux control (DTFC) of induction machine using modified switching table and fuzzy logic controller (FLC) is presented. The major concern in DTFC is selection of the switching state vector in order to meet torque and flux demand of the drive. Main drawbacks of of conventional DTFC is high flux and torque ripples under steady state and variable switching frequency due to hysteresis controllers. Conventional switching table cannot produce accurate voltage vector. Using Fuzzy logic controller (FLC) the torque error, flux error and stator flux angle are divided into smaller subsections. FLC replaces hysteresis controllers and conventional switching table with 180 rule base developed selects optimal switching state, there by reduction in torque and flux ripples and improved dynamic and steady state response is obtained. The proposed methods are evaluated using simulation by MATLAB/Simulink.
Please cite this article in press as: H., S., et al., Improvements in direct torque control of in... more Please cite this article in press as: H., S., et al., Improvements in direct torque control of induction motor for wide range of speed operation using fuzzy logic. J. Electr. Syst. Inform. Technol. (2017), http://dx. Abstract The main objective of this paper is to ameliorate the performance of direct torque control of induction motor for a wide range of speed control using fuzzy logic. The major drawbacks of conventional direct torque control are high torque, flux ripples and poor dynamic response at low speed. In this paper the CDTC is improved by fuzzy logic switching controller and fuzzy logic duty cycle controller. In FDTC with FDCC the selected voltage vector is applied only for the duty cycle time period (δ) determined. Simulation results validate that the proposed scheme shows improved dynamic performance of the drive for a wide range of speed (0–100 rad/s) and the torque and flux ripples are reduced by 90% compared to CDTC.
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Papers by Sudheer Hanumanthakari