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- Title
Active Disturbance Rejection Sensorless Control of Permanent Magnet Synchronous Motor Based on the Fuzzy Neural Network Left Inverse System.
- Authors
Xin Liu; Yanfei Pan; Lin Wang; Jiping Li; Yilin Zhu; Jian Xu; Xiuwen Luo
- Abstract
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.
- Subjects
FUZZY neural networks; PERMANENT magnet motors
- Publication
Progress in Electromagnetics Research C, 2023, Vol 130, p57
- ISSN
1937-8718
- Publication type
Article
- DOI
10.2528/pierc22112402