Artificial-Intelligence-based Electrical Machines and Drives

Application of Fuzzy, Neural, Fuzzy-neural, and Genetic-algorithm-based Techniques

AvPeter Vas

Inbunden, Engelska, 1999

Del 45 i serien Monographs in Electrical and Electronic Engineering

7 779 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:1999-01-28
Mått:160 x 241 x 39 mm
Vikt:1 126 g
Format:Inbunden
Språk:Engelska
Serie:Monographs in Electrical and Electronic Engineering
Antal sidor:654
Förlag:OUP OXFORD
ISBN:9780198593973

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Recensioner i media

"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

Innehållsförteckning

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