Adaptation learning control scheme for a high-performance permanent-magnet stepper motor using online random training of neural networks
This paper addresses the problem of controlling the speed of a permanent-magnet stepper motor assumed to operate in a high-performance drives environment. An artificial neural network (ANN) control scheme which uses continual online random training (with no offline training) to simultaneously identi...
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Published in | IEEE transactions on industry applications Vol. 37; no. 2; pp. 495 - 502 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.03.2001
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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