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.

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

Peter Vas , Professor of Electrical Engineering, Head of Intelligent Motion Control Group, University of Aberdeen

"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