A Model Prediction-Based Leading Angle Flux Weakening Control Method for Permanent Magnet Synchronous Motor.

Autor: Xing Zhang, Lin Wang, Yanyan Ye, Lihui Guo, Yilin Zhu
Předmět:
Zdroj: Progress in Electromagnetics Research Letters; 2023, Vol. 114, p7-12, 6p
Abstrakt: A model prediction based leading angle flux weakening control method is proposed to improve the dynamic and steady-state performance of permanent magnet synchronous motors during the flux weakening process. First, the mathematical model of a permanent magnet synchronous motor is used to construct the prediction model in this method, and then a thorough analysis of the permanent magnet synchronous motor's flux weakening control procedure is carried out. Secondly, based on the principle of model predictive control and the existing delay problems, the corresponding delay compensation method is proposed, and the leading angle flux weakening control method is applied to the proposed model predictive control algorithm, so as to achieve flux weakening speed-up control. Finally, the prototype is used to confirm the effectiveness and precision of the proposed technique. The experimental results show that the leading angle flux weakening control method based on model prediction has faster dynamic response to speed and current than the traditional vector flux weakening control method. At the same time, the steady-state current amplitude is smaller, which has superior current control. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index