Affiliation:
1. School of Mechanical Engineering Hefei University of Technology Hefei China
2. Engineering and Technology Swinburne University of Technology Melbourne Victoria Australian
3. Anhui Key Laboratory of Digit Design and Manufacture Hefei University of Technology Hefei China
Abstract
AbstractThis paper presents an optimal robust control for a permanent magnet synchronous motor (PMSM) with uncertainties and external disturbances which can be described by fuzzy approach. The fuzzy approach based on fuzzy set theory is distinguish from probability theory or fuzzy logic theory. Firstly, a dynamical model of the PMSM with uncertainties is established using a fuzzy approach. Then, a robust controller with an optimizable parameter is designed for PMSM to handle the uncertainties. The stability of the proposed control is proven using the Lyapunov theory. Furthermore, the controller gain is optimized by minimizing performance index, which contains the control performance and cost. Finally, the numerical simulations and experimental results are presented to validate the effectiveness of the proposed control with an optimal parameter.
Funder
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
Cited by
17 articles.
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