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This contributed volume is written by key specialists working in multidisciplinary fields in electrical engineering, linking control theory, power electronics, artificial neural networks, embedded controllers and signal processing. The authors of each chapter report the state of the art of the various topics addressed and present results of their own research, laboratory experiments and successful applications. The presented solutions concentrate on three main areas of interest: motion control in complex electromechanical systems, including sensorless control; fault diagnosis and fault tolerant control of electric drives; new control algorithms for power electronics converters. The chapters and the complete book possess strong monograph attributes. Important practical and theoretical problems are deeply and accurately presented on the background of an exhaustive state-of the art review. Many results are completely new and were never published before. Well-known control methods like field oriented control (FOC) or direct torque control (DTC) are referred as a starting point for modifications or are used for comparison. Among numerous control theories used to solve particular problems are: nonlinear control, robust control, adaptive control, Lyapunov techniques, observer design, model predictive control, neural control, sliding mode control, signal filtration and processing, fault diagnosis, and fault tolerant control
Monografía
monografia Rebiun18515950 https://catalogo.rebiun.org/rebiun/record/Rebiun18515950 cr c||||||||| 160930s2017 gw o 001 0 eng d 9783319457352 978-3-319-45735-2 10.1007/978-3-319-45735-2 doi UEM 94660 CBUC 991047568749706706 UPVA 996981920503706 UAM 991007838602504211 UCAR 991007873918104213 CBUC 991004932106706711 UR0399373 UAL spa UAL rdc 629.8 23 Advanced Control of Electrical Drives and Power Electronic Converters edited by Jacek Kabzinski Cham Springer International Publishing Imprint: Springer 2017 Cham Cham Springer International Publishing Imprint: Springer 1 recurso en línea 1 recurso en línea XIX, 378 p. 274 il., 157 il. en color XIX, 378 p. 274 il., 157 il. en color Texto (visual) isbdcontent electrónico isbdmedia Springer eBooks Studies in Systems, Decision and Control 2198-4182 75 Part I: Electric Drives and Motion Control -- Part II: Electric Drives and Fault-Tolerant Control -- Part III: Design and Control of Power Converters This contributed volume is written by key specialists working in multidisciplinary fields in electrical engineering, linking control theory, power electronics, artificial neural networks, embedded controllers and signal processing. The authors of each chapter report the state of the art of the various topics addressed and present results of their own research, laboratory experiments and successful applications. The presented solutions concentrate on three main areas of interest: motion control in complex electromechanical systems, including sensorless control; fault diagnosis and fault tolerant control of electric drives; new control algorithms for power electronics converters. The chapters and the complete book possess strong monograph attributes. Important practical and theoretical problems are deeply and accurately presented on the background of an exhaustive state-of the art review. Many results are completely new and were never published before. Well-known control methods like field oriented control (FOC) or direct torque control (DTC) are referred as a starting point for modifications or are used for comparison. Among numerous control theories used to solve particular problems are: nonlinear control, robust control, adaptive control, Lyapunov techniques, observer design, model predictive control, neural control, sliding mode control, signal filtration and processing, fault diagnosis, and fault tolerant control Modo de acceso: World Wide Web Engineering Energy systems Control engineering Power electronics Engineering Control Power Electronics, Electrical Machines and Networks Energy Systems Ingeniería Libros electrónicos Recursos electrónicos Kabzinski, Jacek SpringerLink (Online service)