Position control of a PM stepper motor using neural networks

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages1766-1769
Volume2
ISBN (print)0-7803-6638-7
Publication statusPublished - 2000

Publication series

NameIEEE Conference on Decision and Control
ISSN (Print)0191-2216

Conference

Title39th IEEE Confernce on Decision and Control (2000 IEEE CDC)
LocationSydney Convention and Exhibition Centre
PlaceAustralia
CitySydney
Period12 - 15 December 2000

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).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review