Position tracking control for chaotic permanent magnet synchronous motors via indirect adaptive neural approximation
作者： Jinpeng Yu , Bing Chen , Haisheng Yu , Chong Lin , Zhijian Ji
DOI: 10.1016/J.NEUCOM.2014.12.054
关键词:
摘要: Position tracking control for the chaotic permanent magnet synchronous motor drive system is addressed in this paper. Neural networks are used to approximate nonlinearities and indirect adaptive backstepping technique employed construct controllers. The designed neural controllers can suppress chaos guarantee that position error converges a small neighborhood of origin. Compared with classical method, proposed controllers? structure very simple. Simulation results illustrate its effectiveness.
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