The aim of the book is to design a simulation model of Brushless dc motor and to control its speed at different values of load torques.In this light, new control schemes should be devised for a better solution of a non linear system. Recently, work has been started toward the development of Artificial Neural Network (ANN) based intelligent controllers. The ANN has several key features that make it highly suitable for BLDCM speed applications. The ANN based PID controller is used for the speed control of BLDCM at different values of load torque and its comparison is done with the conventional controllers like PID and PI controllers.
"synopsis" may belong to another edition of this title.
Received B.E degree in Electrical engineering from University of Rajasthan, Jaipur (India), and M.E in Power systems and Electric drives from Thapar university, Patiala (India), He is currently working as Assistant Professor at JECRC university, Jaipur (India).
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of the book is to design a simulation model of Brushless dc motor and to control its speed at different values of load torques.In this light, new control schemes should be devised for a better solution of a non linear system. Recently, work has been started toward the development of Artificial Neural Network (ANN) based intelligent controllers. The ANN has several key features that make it highly suitable for BLDCM speed applications. The ANN based PID controller is used for the speed control of BLDCM at different values of load torque and its comparison is done with the conventional controllers like PID and PI controllers. 92 pp. Englisch. Seller Inventory # 9783659397660
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gill AmandeepReceived B.E degree in Electrical engineering from University of Rajasthan, Jaipur (India), and M.E in Power systems and Electric drives from Thapar university, Patiala (India), He is currently working as Assistant Profe. Seller Inventory # 5153586
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of the book is to design a simulation model of Brushless dc motor and to control its speed at different values of load torques.In this light, new control schemes should be devised for a better solution of a non linear system. Recently, work has been started toward the development of Artificial Neural Network (ANN) based intelligent controllers. The ANN has several key features that make it highly suitable for BLDCM speed applications. The ANN based PID controller is used for the speed control of BLDCM at different values of load torque and its comparison is done with the conventional controllers like PID and PI controllers. Seller Inventory # 9783659397660
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of the book is to design a simulation model of Brushless dc motor and to control its speed at different values of load torques.In this light, new control schemes should be devised for a better solution of a non linear system. Recently, work has been started toward the development of Artificial Neural Network (ANN) based intelligent controllers. The ANN has several key features that make it highly suitable for BLDCM speed applications. The ANN based PID controller is used for the speed control of BLDCM at different values of load torque and its comparison is done with the conventional controllers like PID and PI controllers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Seller Inventory # 9783659397660
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Speed Control of Brushless DC Motor by Neural Network PID Controller | Amandeep Gill (u. a.) | Taschenbuch | 92 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659397660 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105595389
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