### 基于新型权重解析法的永磁电机预测转矩控制

1. 1. 长安大学 汽车学院, 西安 710064;
2. 西北工业大学 自动化学院, 西安 710072
• 收稿日期:2022-07-11 修回日期:2022-08-04 发布日期:2022-09-22
• 通讯作者: 颜黎明,E-mail:ylm@chd.edu.cn E-mail:ylm@chd.edu.cn
• 基金资助:
国家自然科学基金（52107036）；中国博士后科学基金（2022T150071）

### Model predictive torque control of permanent magnet synchronous motor using novel analytic weighting factor assignment

YAN Liming1, GUO Xin1, ZHAO Dongdong2

1. 1. School of Automobile, Chang'an University, Xi'an 710064, China;
2. School of Automation, Northwest Polytechnic University, Xi'an 710072, China
• Received:2022-07-11 Revised:2022-08-04 Published:2022-09-22
• Supported by:
National Natural Science Foundation of China (52107036);China Postdoctoral Science Foundation (2022T150071)

Abstract: In finite control set-predictive torque control of Permanent Magnet Synchronous Motor (PMSM), the optimal coordinated regulation of multiple control objectives depends on the allocation of weighting factors. Due to the lack of theoretical guidance, the design of weighting factor usually adopts the rated value method or cut-and-trial method, which cannot realize the coordinated control of electromagnetic torque and stator flux amplitude of PMSM under multiple operating conditions. To solve this problem, a model predictive torque control of PMSM with novel analytical weighting factor configuration is proposed in this paper. Firstly, the influence of weighting factor in the cost function on the control performances of electric drive system is studied by the simulation method. Secondly, the derivation process and mathematical expression of analytical weighting factors are described. Considering that the analytical weighting factor and the prediction model depend on the motor parameters, this paper integrates the online motor parameter identification technologies. Compared with traditional predictive torque control, the proposed method has better dynamic and steady-state and robustness performances.