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Advanced Control of Electrical Drives and Power Electronic Converters
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Advanced Control of Electrical Drives and Power Electronic Converters

1st ed. 2017

Book Details

Format Hardback or Cased Book
ISBN-10 3319457349
ISBN-13 9783319457345
Edition 1st ed. 2017
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture CH
Country of Publication GB
Publication Date Oct 12th, 2016
Print length 378 Pages
Weight 746 grams
Dimensions 19.60 x 24.30 x 3.00 cms
Ksh 25,200.00
Werezi Extended Catalogue 0 in stock

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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.

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.


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