Overview
- Introduces the reader to electromechanical conversion
- Develops a theoretical method to analyze parameter sensitivity of vector control strategies
- Includes various applications that deal with a flywheel energy storage system
- Includes supplementary material: sn.pub/extras
Part of the book series: Power Systems (POWSYS)
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About this book
After a brief introduction to the main law of physics and fundamental concepts inherent in electromechanical conversion, Vector Control of Induction Machines introduces the standard mathematical models for induction machines – whichever rotor technology is used – as well as several squirrel-cage induction machine vector-control strategies. The use of causal ordering graphs allows systematization of the design stage, as well as standardization of the structure of control devices.
Vector Control of Induction Machines suggests a unique approach aimed at reducing parameter sensitivity for vector controls based on a theoretical analysis of this sensitivity. This analysis naturally leads to the introduction of control strategies that are based on the combination of different controls with different robustness properties, through the use of fuzzy logic supervisors. Numerous applications and experiments confirm the validity of this simple solution, which is both reproducible and applicable to other complex systems.
Vector Control of Induction Machines is written for researchers and postgraduate students in electrical engineering and motor drive design.
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Table of contents (6 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Vector Control of Induction Machines
Book Subtitle: Desensitisation and Optimisation Through Fuzzy Logic
Authors: Benoît Robyns, Bruno Francois, Philippe Degobert, Jean Paul Hautier
Series Title: Power Systems
DOI: https://doi.org/10.1007/978-0-85729-901-7
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London Limited 2012
Hardcover ISBN: 978-0-85729-900-0Published: 06 February 2012
Softcover ISBN: 978-1-4471-6056-4Published: 13 April 2014
eBook ISBN: 978-0-85729-901-7Published: 04 February 2012
Series ISSN: 1612-1287
Series E-ISSN: 1860-4676
Edition Number: 1
Number of Pages: XXVI, 222
Topics: Power Electronics, Electrical Machines and Networks, Mathematical Modeling and Industrial Mathematics, Simulation and Modeling, Control and Systems Theory, Systems Theory, Control