Active disturbance rejection control of 5-degree-of-freedom bearingless permanent magnet synchronous motor based on fuzzy neural network inverse system

被引：29
|
作者：
Zhu, Huangqiu [1 ]
Gu, Zhiwei [1 ]
机构：
[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Jiangsu, Peoples R China
来源：
ISA TRANSACTIONS | 2020年 / 101卷
基金：
中国国家自然科学基金;
关键词：
Bearingless motor; Fuzzy neural network inverse system; Decoupling control; Active disturbance rejection control; Stability;
D O I：
10.1016/j.isatra.2020.01.028
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To realize the high performance operation of the 5-degree-of-freedom bearingless permanent magnet synchronous motor (5-DOF-BPMSM), a novel decoupling control strategy combining fuzzy neural network inverse system (FNNIS) with active disturbance rejection control (ADRC) is proposed. Firstly, fuzzy neural network (FNN) is employed to approach the inverse system of the 5-DOF-BPMSM. By connecting the obtained inverse system with the original system, six independent pseudo-linear subsystems are constructed. Then, considering the influence of parametric variations and external disturbances in the process of operation, the ADRC theory is employed to design additional closed-loop controllers to ensure the stability of the pseudo-linear subsystems. Finally, comparative simulation and experimental results indicate that the proposed control strategy can achieve better control performance. (c) 2020 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：295 / 308
页数：14
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