Artificial-Intelligence-Based Electrical Machines and Drives - Monographs in Electrical and Electronic Engineering, Vol. 45

Zusatztext "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 Klappentext Roughly half of all electricity generated is consumed in motors, and recent efforts to apply artificial intelligence (AI) to improving electric motors are receiving attention worldwide. At present two industrial drives incorporate some form of AI. This book is the first comprehensive discussion of AI applications to electrical machines and drives. It looks at d.c. drives, induction motor drives, synchronous motor drives, switched reluctance motor drives, and sensorless drives. It combines simple explanations of AI-based systems with detailed and unified mathematical and physical treatments, and it includes numerous worked examples, simulations, and experimental results. Zusammenfassung This text discusses numerous artificial intelligence applications to electrical machines and drives. The drives considered are: DC drives; induction motor drives; synchronous motor drives; switched reluctance motor drives; and sensorless drives.

Summary

This text discusses numerous artificial intelligence applications to electrical machines and drives. The drives considered are: DC drives; induction motor drives; synchronous motor drives; switched reluctance motor drives; and sensorless drives.

Product details

• Authors: Peter Vas, Peter (Professor of Electrical Engineering Vas
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 28.01.1999
• EAN: 9780198593973
• ISBN: 978-0-19-859397-3
• Series: Monographs in Electrical and Electronic Engineering; Monographs in Electrical and E; Print on demand; Monographs in Electrical and Electronic Engineering; Monographs in Electrical and E
• Subjects: Education and learning > Teaching preparation > Vocational needs; Natural sciences, medicine, IT, technology > IT, data processing > IT