Adaptive fuzzy finite-time command filtered tracking control for permanent magnet synchronous motors

被引：56

作者：

Yang, Xueting ^{[1
]}

Yu, Jinpeng ^{[1
]}

Wang, Qing-Guo ^{[2
,3
]}

Zhao, Lin ^{[1
]}

Yu, Haisheng ^{[1
]}

Lin, Chong ^{[1
]}

机构：

[1] Qingdao Univ, Coll Automat, Qingdao 266071, Peoples R China

[2] Univ Johannesburg, Fac Engn & Built Environm, Johannesburg, South Africa

[3] Univ Johannesburg, Inst Intelligent Syst, Johannesburg, South Africa

来源：

NEUROCOMPUTING | 2019年 / 337卷

关键词：

Adaptive fuzzy control; Command filter; Finite-time; Permanent magnet synchronous motors; DYNAMIC SURFACE CONTROL; OUTPUT-FEEDBACK CONTROL; NONLINEAR-SYSTEMS; NEURAL-NETWORKS; OBSERVER; STABILIZATION; STABILITY;

D O I：

10.1016/j.neucom.2019.01.057

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies the position tracking control problem for permanent magnet synchronous motors (PMSMs) with parameter uncertainties. Firstly, the command filtered method is employed to overcome the "explosion of complexity" in traditional backstepping method. Then, in order to reduce the errors produced by command filters, error compensation mechanism is adopted. In addition, the finite-time control method makes the tracking error converge to the smaller neighborhood in the finite time. The adaptive fuzzy control is used to approximate the nonlinear functions. Finally, the simulation results proved the designed control method can overcome the influence of parameter uncertainties and achieve the satisfactory position tracking control. (c) 2019 Elsevier B.V. All rights reserved.

引用

页码：110 / 119

页数：10

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