Research on Moment of Inertia Identification and PI Parameter Self-tuning of Speed Control System for the Permanent Magnet Synchronous Motor

Autor: Yanliang Xu, Guangxu Zhou, Mengmei Zhu, Jianhui Ma, Mu Yongyun, Jia Gao, Ningran Song
Rok vydání: 2019
Předmět:
Zdroj: 2019 Chinese Automation Congress (CAC).
DOI: 10.1109/cac48633.2019.8996161
Popis: The traditional PI controller parameters are mostly fixed, do not have online self-tuning ability, and it is difficult to satisfy the requirements of the speed control system for Permanent Magnet Synchronous Motor(PMSM). Moment of inertia is a very important parameter in controller parameter selfo-tuning. In this paper, the moment of inertia is identified in real time, combined with the relationship between the PI parameter of the controller speed loop and the moment of inertia, the appropriate control parameters are directly calculated to realize the online self-tuning of the controller parameters. The simulation model is built in Matlab/Simulink. The experimental results show that the proposed algorithm can realize the fast and accurate identification of the moment of inertia. At the same time, the controller PI parameter self-tuning can effectively reduce the system overshoot, the system response speed is fast, and the anti-interference ability is strong, greatly improving the performance of the speed control system.
Databáze: OpenAIRE