湖北汽车工业学院学报2026，Vol.40Issue(1)：42-47,6.DOI:10.3969/j.issn.1008-5483.2026.01.008
基于级联模型参考自适应的永磁同步电机模型预测控制
Model Predictive Control for Permanent Magnet Synchronous Motor Based on Cascade Model Reference Adaptation
摘要
Abstract
To address the issues of large current fluctuations and susceptibility to system parameter variations in traditional limited-set model predictive control strategies for permanent magnet synchro-nous motor(PMSM),a dual-vector model predictive control strategy based on a novel model reference adaptive parameter identification was proposed.Based on the mathematical model of the PMSM,the in-fluence of motor parameter variations on the system was thoroughly analyzed,and an error model of the dual-vector model predictive system under parameter mismatch was established.The traditional adap-tive algorithm was improved to form a cascaded model reference adaptive parameter identification meth-od,which could achieve online identification of the motor's resistance,inductance,and flux linkage and enabling real-time correction and compensation of system errors.The model was simulated in a MATLAB/Simulink environment.The results show that the proposed control strategy can respond to mo-tor parameter variations within 0.012 s,with parameter identification errors within a reasonable range,validating the robustness of the strategy.关键词
模型预测控制/模型参考自适应/参数辨识Key words
model predictive control/model reference adaptation/parameter identification分类
信息技术与安全科学引用本文复制引用
宋光轩,张金亮,简炜,彭国生,陈凯..基于级联模型参考自适应的永磁同步电机模型预测控制[J].湖北汽车工业学院学报,2026,40(1):42-47,6.基金项目
电磁感应与节能技术十堰市重点实验室开放基金(SYZDK22025B02) （SYZDK22025B02）
