The performance of DVR depends on the efficiency of the control techniques involved in switching the inverter. Here we propose three control techniques which are the Proportional Integral (PI) Controller, Fuzzy Logic (FL) Controller and Artificial Neural Network Controller. In this work the operation of DVR is presented comparing Discrete PI Controller Fuzzy Logic Controller techniques and neural network controller to restore the voltage disturbance caused by sag. Comprehensive results are presented to assess the performance of each controller as the best power quality solution. The simulations have been carried out using MATLAB/Simulink.
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M. Ramu received his B. Tech degree in Electrical and Electronics Engineering from JNT University, Hyderabad, India in 2006, M. Tech degree from GITAM University, Visakhapatnam, India in 2010. He is currently working as Assistant Professor, Dept. of EECE, GITAM University, Visakhapatnam, AP, India.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The performance of DVR depends on the efficiency of the control techniques involved in switching the inverter. Here we propose three control techniques which are the Proportional Integral (PI) Controller, Fuzzy Logic (FL) Controller and Artificial Neural Network Controller. In this work the operation of DVR is presented comparing Discrete PI Controller Fuzzy Logic Controller techniques and neural network controller to restore the voltage disturbance caused by sag. Comprehensive results are presented to assess the performance of each controller as the best power quality solution. The simulations have been carried out using MATLAB/Simulink. 120 pp. Englisch. Bestandsnummer des Verkäufers 9786138965589
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mutyala RamuM. Ramu received his B. Tech degree in Electrical and Electronics Engineering from JNT University, Hyderabad, India in 2006, M. Tech degree from GITAM University, Visakhapatnam, India in 2010. He is currently working as A. Bestandsnummer des Verkäufers 541455191
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The performance of DVR depends on the efficiency of the control techniques involved in switching the inverter. Here we propose three control techniques which are the Proportional Integral (PI) Controller, Fuzzy Logic (FL) Controller and Artificial Neural Network Controller. In this work the operation of DVR is presented comparing Discrete PI Controller Fuzzy Logic Controller techniques and neural network controller to restore the voltage disturbance caused by sag. Comprehensive results are presented to assess the performance of each controller as the best power quality solution. The simulations have been carried out using MATLAB/Simulink. Bestandsnummer des Verkäufers 9786138965589
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The performance of DVR depends on the efficiency of the control techniques involved in switching the inverter. Here we propose three control techniques which are the Proportional Integral (PI) Controller, Fuzzy Logic (FL) Controller and Artificial Neural Network Controller. In this work the operation of DVR is presented comparing Discrete PI Controller Fuzzy Logic Controller techniques and neural network controller to restore the voltage disturbance caused by sag. Comprehensive results are presented to assess the performance of each controller as the best power quality solution. The simulations have been carried out using MATLAB/Simulink.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch. Bestandsnummer des Verkäufers 9786138965589
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Taschenbuch. Zustand: Neu. PERFORMANCE ANALYSIS OF DVR FOR VOLTAGE SAG MITIGATION | Ramu Mutyala | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9786138965589 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120953878
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