Affiliation:
1. School of Automation, Wuhan University of Technology, Wuhan 430070, China
2. Wuhan Ship Development & Design Institute, Wuhan 430060, China
3. School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
Abstract
Due to the advantages of simple structure, small size, and high power density, permanent magnet synchronous motors (PMSM) have attracted the research interest of many scholars both domestically and abroad. However, traditional PMSM equipped with sensors, encoders, and other devices tend to have high equipment costs and rely heavily on the accuracy of the sensors for control effectiveness. Therefore, sensorless control has become a hot trend in the PMSM control field. In response to the chattering problem in sliding mode algorithms, this study first optimized the sliding mode reaching rate of a sensorless control system and applied it to construct a sliding mode observer and speed controller. Next, the improved sliding mode reaching rate-based sensorless control system was modeled and simulated in Matlab/Simulink, and its control performance was compared and analyzed with that of the traditional sliding mode reaching rate and replicated sliding mode reaching rate. Finally, comparative experiments were conducted on a test bench, and the results showed that, under the action of the improved sliding mode reaching rate, the chattering range of the output speed of the motor was +2%~+5%, which optimized the output speed of the PMSM and achieved the purpose of weakening the chattering.
Funder
National Key R&D Program of China
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference26 articles.
1. Vaez-Zadeh, S. (2018). Control of Permanent Magnet Synchronous Motors, Oxford University Press.
2. Research review on Sensorless control technology of permanent magnet synchronous motor;Liu;J. Electrotech. Eng.,2017
3. Saliency-based position sensorless control methods for PMSM drives—A review;Zhang;Chin. J. Electr. Eng.,2017
4. Second-order ESO-based current sensor fault-tolerant strategy for sensorless control of PMSM with B-phase current;Liu;IEEE/ASME Trans. Mechatron.,2022
5. Yin, Z.G., Li, W., Zhang, Y.Q., and Tang, R.J. (2019, January 19–21). Model predictive torque control based on a disturbance observer for induction motor drives. Proceedings of the 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), Xi’an, China.
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