Artificial-Intelligence-based Electrical Machines and Drives
Application of Fuzzy, Neural, Fuzzy-neural, and Genetic-algorithm-based Techniques
Series: Monographs in Electrical and Electronic Engineering; 45;
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Product details:
- Publisher OUP Oxford
- Date of Publication 28 January 1999
- Number of Volumes laminated boards
- ISBN 9780198593973
- Binding Hardback
- No. of pages654 pages
- Size 241x160x39 mm
- Weight 1126 g
- Language English
- Illustrations 5 halftones, numerous line figures 0
Categories
Short description:
This is the first comprehensive book which discusses numerous AI applications to electrical machines and drives. It presents a detailed and unified mathematical and physical treatment, and contains many worked examples, presents numerous simulation results and shows a large number of experimental results obtained on different DSP systems. It is essential reading for anyone interested in acquiring a solid background in AI-based electrical machines and drives, including students, teachers and other academics, and an industrial readership.
MoreLong description:
Recently artificial-intelligence-based techniques (fuzzy logic, neural networks, fuzzy-neural networks, genetic algorithms, etc) have received increased attention world-wide and at present two industrial drives incorporate some form of artificial intelligence. This is the first comprehensive book which discusses numerous AI applications to electrical machines and drives. The drives considered are: d.c. drives, induction motor drives, synchronous motor drives, and switched reluctance motor drives. Sensorless drives are also considered. It is essential reading for anyone interested in acquiring a solid background in AI-based electrical machines and drives. It presents a detailed and unified mathematical and physical treatment.
"Moving from basics to in-depth exposures of AI applications to electrical machines and drives this authoritative book provides essential reading for graduate-level students, academics, researchers and industrial practisers in advanced motion control." Prof. M. M. Radulescu
Table of Contents:
Glossary of symbols
Introduction
Past, present, and future electrical machines and drives
General aspects of the application of AI in variable speed drives
Conventional, fuzzy, neural, and fuzzy-neural function approximators
Artificial neural networks
Fuzzy logic systems
Fuzzy-neural systems
Genetic algorithms
AI-based steady-state and transient analysis of DC machines, estimators, control
AI-based steady-state and transient analysis of induction machines, estimators, control, design, condition monitoring and diagnosis
AI-based steady-state and transient analysis of synchronous machines, estimators, control, design, condition monitoring, and diagnosis
AI-based switched reluctance motors, estimation, design, and control
Index
