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Nonlinear adaptive inverse control for the magnetic bearing system

Authors
Journal
Journal of Magnetism and Magnetic Materials
0304-8853
Publisher
Elsevier
Publication Date
Volume
209
Identifiers
DOI: 10.1016/s0304-8853(99)00683-6
Keywords
  • Magnetic Bearing System
  • Nonlinear Adaptive Inverse Control
Disciplines
  • Computer Science
  • Design

Abstract

Abstract The research on theory and application of magnetic bearing system has received much attention in recent years. In order to overcome nonsystematic design and long training time in nonlinear adaptive inverse control, we propose a new method based on CPBUM neural network. The experimental results show that the proposed architecture provides a greater flexibility and better performance in controlling magnetic bearing system.

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