Position control of a PM stepper motor using neural networks
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187) |
Publisher | Institute of Electrical and Electronics Engineers, Inc. |
Pages | 1766-1769 |
Volume | 2 |
ISBN (print) | 0-7803-6638-7 |
Publication status | Published - 2000 |
Publication series
Name | IEEE Conference on Decision and Control |
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ISSN (Print) | 0191-2216 |
Conference
Title | 39th IEEE Confernce on Decision and Control (2000 IEEE CDC) |
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Location | Sydney Convention and Exhibition Centre |
Place | Australia |
City | Sydney |
Period | 12 - 15 December 2000 |
Link(s)
Abstract
This paper considers position control of a PM stepper motor. A new control scheme is proposed based on a kind of exact linearization controller and a neural network based compensating controller. This scheme takes advantages of simplicity of the model based control approach and uses the neural network controller to compensate for the motor modeling uncertainties. The neural network is trained on line based on Lyapunov theory and thus its convergence is guaranteed.
Citation Format(s)
Position control of a PM stepper motor using neural networks. / Feng, Gang.
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187). Vol. 2 Institute of Electrical and Electronics Engineers, Inc., 2000. p. 1766-1769 (IEEE Conference on Decision and Control).
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187). Vol. 2 Institute of Electrical and Electronics Engineers, Inc., 2000. p. 1766-1769 (IEEE Conference on Decision and Control).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review