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

Huangqiu Zhu; Zhiwei Gu

doi:10.1016/j.isatra.2020.01.028

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

ISA Trans. 2020 Jun:101:295-308. doi: 10.1016/j.isatra.2020.01.028. Epub 2020 Jan 23.

Authors

Huangqiu Zhu¹, Zhiwei Gu²

Affiliations

¹ School of Electrical and Information Engineering, Jiangsu University, 212013 Zhenjiang, China. Electronic address: zhuhuangqiu@ujs.edu.cn.
² School of Electrical and Information Engineering, Jiangsu University, 212013 Zhenjiang, China. Electronic address: 1126825198@qq.com.

PMID: 31987579
DOI: 10.1016/j.isatra.2020.01.028

Abstract

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.

Keywords: Active disturbance rejection control; Bearingless motor; Decoupling control; Fuzzy neural network inverse system; Stability.