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Automatic Speed Tracking of PMSM Drive: A Swarm Intelligence Approach: Optimal PID Gain Scheduling for Speed Control of PMSM Drive using Bio Inspired Optimization Algorithms - Softcover
Inhaltsangabe
PID controller is a most popular controller in industry. The performance of PID controller depends on proper scheduling of gains which is a difficult task due to uncertainties in the industry. In this context this book presents an efficient methodology for automatic speed tracking of PMSM drive using bio inspired optimization based PID controller. PSO, BAT and FFA based online gain scheduling of PID controller for speed control of PMSM drive was developed and implemented with the help of various objective functions. From the obtained results it can concluded that among ISE, IAE, ITSE and ITAE, ITAE is the best objective function for gain scheduling of PID controller for speed control of PMSM drive. Among PSO+PID, BAT+PID and FFA+PID, PSO+PID are proven to be robust as it was applied to control the speed of PMSM drive at different reference speeds. I hope this book is most useful for the researchers and masters level students who were in the area of control of electric drives.
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Reseña del editor
PID controller is a most popular controller in industry. The performance of PID controller depends on proper scheduling of gains which is a difficult task due to uncertainties in the industry. In this context this book presents an efficient methodology for automatic speed tracking of PMSM drive using bio inspired optimization based PID controller. PSO, BAT and FFA based online gain scheduling of PID controller for speed control of PMSM drive was developed and implemented with the help of various objective functions. From the obtained results it can concluded that among ISE, IAE, ITSE and ITAE, ITAE is the best objective function for gain scheduling of PID controller for speed control of PMSM drive. Among PSO+PID, BAT+PID and FFA+PID, PSO+PID are proven to be robust as it was applied to control the speed of PMSM drive at different reference speeds. I hope this book is most useful for the researchers and masters level students who were in the area of control of electric drives.
Biografía del autor
Dr.Satish Kumar Injeti was Professor of Electrical and Electronics Engineering, Gudlavalleru Engineering College(A),Andhra Pradesh,India. He received B.Tech. E.E.E.(JNTU Hyderabad), M.Tech. in Energy Systems(JNTU Anantapur) and Ph.D. in Power Systems(JNTU Kakinada)India. His research interests:power system optimization,Digital Image Processing.
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Automatic Speed Tracking of PMSM Drive: A Swarm Intelligence Approach
Verlag:
LAP LAMBERT Academic Publishing Dez 2016, 2016
ISBN 10: 3330023686
ISBN 13: 9783330023680
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Taschenbuch
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Taschenbuch. Zustand: Neu. Neuware -PID controller is a most popular controller in industry. The performance of PID controller depends on proper scheduling of gains which is a difficult task due to uncertainties in the industry. In this context this book presents an efficient methodology for automatic speed tracking of PMSM drive using bio inspired optimization based PID controller. PSO, BAT and FFA based online gain scheduling of PID controller for speed control of PMSM drive was developed and implemented with the help of various objective functions. From the obtained results it can concluded that among ISE, IAE, ITSE and ITAE, ITAE is the best objective function for gain scheduling of PID controller for speed control of PMSM drive. Among PSO+PID, BAT+PID and FFA+PID, PSO+PID are proven to be robust as it was applied to control the speed of PMSM drive at different reference speeds. I hope this book is most useful for the researchers and masters level students who were in the area of control of electric drives.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Artikel-Nr. 9783330023680
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Automatic Speed Tracking of PMSM Drive: A Swarm Intelligence Approach: Optimal PID Gain Scheduling for Speed Control of PMSM Drive using Bio Inspired Optimization Algorithms
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330023686
ISBN 13: 9783330023680
Neu
Paperback
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Paperback. Zustand: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock. Artikel-Nr. 3330023686
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