Induction motors are the most widely used electrical motors due to their reliability, low cost and robustness. However, induction motors do not inherently have the capability of variable speed operation. Due to this reason, during the past decades dc motors are applied in most of the electrical drives. But the recent developments in speed control methods of the induction motor have led to their large scale use in almost all electrical drives. This book is carried out to develop a simple torque and flux ripple reduction technique with the help of space vector PWM based DTC for three phase induction motor using hybrid algorithms. An attempt has been made to combine the hybrid algorithms like Particle Swarm Optimization tuned Adaptive Neuro Fuzzy Inference System (PSO–ANFIS), Firefly Algorithm tuned ANFIS (FA–ANFIS) and Enhanced Firefly Algorithm tuned ANFIS (EFA-ANFIS) controllers for evaluating the dynamic operational performance of DTC based induction motor drive particularly during low speed and sub-synchronous speed range of operation.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Induction motors are the most widely used electrical motors due to their reliability, low cost and robustness. However, induction motors do not inherently have the capability of variable speed operation. Due to this reason, during the past decades dc motors are applied in most of the electrical drives. But the recent developments in speed control methods of the induction motor have led to their large scale use in almost all electrical drives. This book is carried out to develop a simple torque and flux ripple reduction technique with the help of space vector PWM based DTC for three phase induction motor using hybrid algorithms. An attempt has been made to combine the hybrid algorithms like Particle Swarm Optimization tuned Adaptive Neuro Fuzzy Inference System (PSO-ANFIS), Firefly Algorithm tuned ANFIS (FA-ANFIS) and Enhanced Firefly Algorithm tuned ANFIS (EFA-ANFIS) controllers for evaluating the dynamic operational performance of DTC based induction motor drive particularly during low speed and sub-synchronous speed range of operation. 148 pp. Englisch. N° de réf. du vendeur 9786203921885
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sekhar J.N. ChandraDr. J N Chandra Sekhar received his B.Tech, M.Tech and PhD degrees in EEE from JNTUA, SIST and SVU, India. His research interests are Power Electronic Drives, nature inspired algorithms, Optimization algorithms, Po. N° de réf. du vendeur 490541993
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Induction motors are the most widely used electrical motors due to their reliability, low cost and robustness. However, induction motors do not inherently have the capability of variable speed operation. Due to this reason, during the past decades dc motors are applied in most of the electrical drives. But the recent developments in speed control methods of the induction motor have led to their large scale use in almost all electrical drives. This book is carried out to develop a simple torque and flux ripple reduction technique with the help of space vector PWM based DTC for three phase induction motor using hybrid algorithms. An attempt has been made to combine the hybrid algorithms like Particle Swarm Optimization tuned Adaptive Neuro Fuzzy Inference System (PSO-ANFIS), Firefly Algorithm tuned ANFIS (FA-ANFIS) and Enhanced Firefly Algorithm tuned ANFIS (EFA-ANFIS) controllers for evaluating the dynamic operational performance of DTC based induction motor drive particularly during low speed and sub-synchronous speed range of operation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. N° de réf. du vendeur 9786203921885
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Performance Improvement in asynchronous drive with hybrid algorithms | J. N. Chandra Sekhar (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203921885 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 120373816
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Induction motors are the most widely used electrical motors due to their reliability, low cost and robustness. However, induction motors do not inherently have the capability of variable speed operation. Due to this reason, during the past decades dc motors are applied in most of the electrical drives. But the recent developments in speed control methods of the induction motor have led to their large scale use in almost all electrical drives. This book is carried out to develop a simple torque and flux ripple reduction technique with the help of space vector PWM based DTC for three phase induction motor using hybrid algorithms. An attempt has been made to combine the hybrid algorithms like Particle Swarm Optimization tuned Adaptive Neuro Fuzzy Inference System (PSO-ANFIS), Firefly Algorithm tuned ANFIS (FA-ANFIS) and Enhanced Firefly Algorithm tuned ANFIS (EFA-ANFIS) controllers for evaluating the dynamic operational performance of DTC based induction motor drive particularly during low speed and sub-synchronous speed range of operation. N° de réf. du vendeur 9786203921885
Quantité disponible : 1 disponible(s)