Robust Nonlinear Control for Six-phase Permanent Magnet Synchronous Motor with Intelligent Uncertainty Observer

被引：0

作者：

Liu Sheng ^{[1
]}

Guo Xiaojie ^{[1
]}

Wang Yuchao ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Automat, Harbin 150001, Heilongjiang, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

关键词：

Permanent magnet synchronous motor (PMSM); adaptive backstepping sliding mode (ABSM); nonlinear robust control; recurrent wavelet fuzzy neural network (RWFNN); uncertainty observer; SLIDING-MODE CONTROL; BACKSTEPPING CONTROL; CONTROL-SYSTEM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a robust adaptive backstepping sliding mode control (ABSMC) algorithm for the speed regulation of a six-phase permanent magnet synchronous motor (PMSM). In the proposed technique, ABSMC is used to guarantee the speed tracking and parameter perturbation suppression, meanwhile, nonlinear H-infinity is utilized to minimize the influence of fastvarying load disturbances on its tracking output. To increase the anti-interference robustness and parameter insensitivity of the drive system, an uncertainty observer based on the recurrent wavelet fuzzy neural network is designed and applied to the robust ABSM controller. The effectiveness of the proposed control algorithm is verified by experimental results.

引用

页码：760 / 765

页数：6