Artificial-intelligence-based electrical machines and drives
Application of fuzzy, neural, fuzzy-neural, and genetic-algorithm-based techniques
Peter Vas - Collection Monographs in electrical and electronic engineering
654 pages, parution le 28/01/1999
Résumé
Artificial-intelligence-based techniques (fuzzy logic,
neural networks, fuzzy-neural networks, genetic algorithms)
have received increased attention world-wide and at present
two industrial drives incorporate some form of artificial
intelligence. This text 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 intended 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.
Summary of contents
- 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, controls
- AI-based steady-state and transient analysis of induction machines, estimators, controls, design, condition monitoring and diagnosis
- AI-based steady-state and transient analysis of synchronous machines, estimates, control, design, condition monitoring and diagnosis
- AI-based switched reluctance motors, estimation, design and control
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Oxford University Press |
| Auteur(s) | Peter Vas |
| Collection | Monographs in electrical and electronic engineering |
| Parution | 28/01/1999 |
| Nb. de pages | 654 |
| Format | 230 x 150 |
| EAN13 | 9780198593973 |
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