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Off-line and On-line Parameter Estimation of Induction Machines: Advanced particle swarm optimization algorithms and advanced recursive least-squares algorithms - Couverture souple

Chau Huynh, Duy; W. Dunnigan, Matthew

 
9783844396317: Off-line and On-line Parameter Estimation of Induction Machines: Advanced particle swarm optimization algorithms and advanced recursive least-squares algorithms
Couverture souple
ISBN 10 : 3844396314 ISBN 13 : 9783844396317
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

This book addresses off-line and on-line parameter estimations of an induction machine (IM) which are necessary to improve its control and operational performances. Two advanced particle swarm optimization (PSO) algorithms, known as the dynamic PSO and chaos PSO algorithms, are proposed for off-line parameter estimation of the three-phase and single-phase IMs. Additionally, a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors is proposed for on-line parameter estimation of the IM which can efficiently track the IM parameter variations during operation. Furthermore, energy efficient control of the IM is also an important topic examined in this book. A control strategy is proposed using an optimal IM rotor flux reference. Two techniques, known as the derivative technique and the chaos PSO algorithm are proposed for obtaining the optimal IM rotor flux reference. The on-line parameter estimator using the RLS algorithm with multiple time-varying forgetting factors is used in this application to update the IM parameter variations so that the optimal IM rotor flux reference is always accurate and the IM efficiency always remains optimal.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book addresses off-line and on-line parameter estimations of an induction machine (IM) which are necessary to improve its control and operational performances. Two advanced particle swarm optimization (PSO) algorithms, known as the dynamic PSO and chaos PSO algorithms, are proposed for off-line parameter estimation of the three-phase and single-phase IMs. Additionally, a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors is proposed for on-line parameter estimation of the IM which can efficiently track the IM parameter variations during operation. Furthermore, energy efficient control of the IM is also an important topic examined in this book. A control strategy is proposed using an optimal IM rotor flux reference. Two techniques, known as the derivative technique and the chaos PSO algorithm are proposed for obtaining the optimal IM rotor flux reference. The on-line parameter estimator using the RLS algorithm with multiple time-varying forgetting factors is used in this application to update the IM parameter variations so that the optimal IM rotor flux reference is always accurate and the IM efficiency always remains optimal.

Biographie de l'auteur

Duy Chau Huynh received the Ph.D. degree in electrical and electronic engineering at Heriot-Watt University, U.K. He is currently a Lecturer at Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam. His research interests include the areas of energy efficient control and parameter estimation methods of induction machines.

Duy Chau Huynh received the Ph.D. degree in electrical and electronic engineering at Heriot-Watt University, U.K. He is currently a Lecturer at Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam. His research interests include the areas of energy efficient control and parameter estimation methods of induction machines.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844396314
ISBN 13 
9783844396317
Reliure
Broché
Nombre de pages
256
Coordonnées du fabricant
non disponible
Personne responsable
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