Active Disturbance Rejection Sensorless Control of Permanent Magnet Synchronous Motor Based on the Fuzzy Neural Network Left Inverse System

被引：0
|
作者：
Liu X. [1 ]
Pan Y. [2 ]
Wang L. [2 ]
Li J. [3 ]
Zhu Y. [2 ]
Xu J. [2 ]
Luo X. [2 ]
机构：
[1] Beijing Machinery Industry Automation Research Institute Co., Ltd., Beijing
[2] Jiangsu Changjiang Intelligent Manufacturing Research Institute Co, Ltd., Changzhou
[3] Qinhuangdao Customs Coal Testing Technology Center, Qinhuangdao
来源：
Progress In Electromagnetics Research C | 2023年 / 130卷
关键词：
Active disturbance rejection - Active disturbances rejection controls - Fuzzy-neural-networks - Left-inverse system - Motor control system - Permanent Magnet Synchronous Motor - Sensorless - Sensorless control method - Speed observations - System observer;
D O I：
10.2528/PIERC22112402
中图分类号：
学科分类号：
摘要：
—A sensorless control method based on active disturbance rejection control (ADRC) and left inverse of a fuzzy neural network is proposed to realize the sensorless control of permanent magnet synchronous motor (PMSM) for machine tools. Firstly, on the basis of analyzing the mathematical model of PMSM and the theory of left inverse system, a left inverse system observer is constructed. Secondly, after verifying the left reversibility of the PMSM control system, the fuzzy neural network is used to construct the left inverse system, and the left inverse system is connected with the PMSM control system in series to realize the sensorless control of the PMSM. Thirdly, according to the mathematical model of PMSM and the sensorless speed observation results, an ADRC method to improve the sensorless control effect is proposed. Finally, the experimental platform of the sensorless control method based on ADRC fuzzy neural network left inverse is built. The experimental results show that the method can estimate the speed and position well. © 2023, Electromagnetics Academy. All rights reserved.
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页码：57 / 67
页数：10
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