高师理科学刊2024，Vol.44Issue(6)：30-37,8.DOI:10.3969/j.issn.1007-9831.2024.06.005
具有参数鲁棒性的永磁同步电机模型预测控制
Model predictive control of permanent magnet synchronous motor with parameter robustness
摘要
Abstract
The prediction results of finite set model predictive control for permanent magnet synchronous motors are highly dependent on the system model parameters,and there is a problem of parameter mismatch leading to a decrease in control performance.In order to enhance the parameter robustness of the permanent magnet synchronous motor model predictive control and reduce its sensitivity to parameters,a control method based on the incremental current prediction equation is proposed,which utilizes an improved model reference adaptive system(MRAS)for parameter identification.In order to reduce the dependence of the system on motor parameters,an incremental current prediction model is introduced,which eliminates the magnetic flux parameters and only includes the resistance and inductance parameters.In response to the problem that traditional MRAS methods cannot identify three parameters simultaneously due to lack of rank,an improved MRAS method is adopted,this method can accurately identify resistance and inductance parameters in the presence of parameter mismatch.The effectiveness of the proposed method is verified through experiments关键词
永磁同步电机/模型预测控制/参数辨识Key words
permanent magnet synchronous motor/model predictive control/parameter identification分类
信息技术与安全科学引用本文复制引用
桑振龙,张辉..具有参数鲁棒性的永磁同步电机模型预测控制[J].高师理科学刊,2024,44(6):30-37,8.基金项目
黑龙江省协同创新成果项目(LJGXCG2023-096) （LJGXCG2023-096）
黑龙江教育厅基本业务专项(145209409) （145209409）
