Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406257 | Neurocomputing | 2015 | 7 Pages |
Abstract
Position tracking control for the chaotic permanent magnet synchronous motor drive system is addressed in this paper. Neural networks are used to approximate the nonlinearities and indirect adaptive backstepping technique is employed to construct controllers. The designed indirect adaptive neural controllers can suppress chaos in the permanent magnet synchronous motor and guarantee that the position tracking error converges to a small neighborhood of the origin. Compared with the classical backstepping method, the proposed neural controllers׳ structure is very simple. Simulation results illustrate its effectiveness.
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jinpeng Yu, Bing Chen, Haisheng Yu, Chong Lin, Zhijian Ji, Xiaoqing Cheng,