电机与控制应用2025，Vol.52Issue(6)：596-607,12.DOI:10.12177/emca.2025.045
基于模型参考自适应参数辨识的永磁同步电机有限状态集MPCC
The FCS-MPCC for PMSM Based on MRAS Parameter Identification
摘要
Abstract
[Objective]Aiming at the problem of control performance degradation due to parameter mismatch in finite-control-set model predictive current control(FCS-MPCC)of permanent magnet synchronous motor,the model reference adaptive system(MRAS)is used to identify the motor parameters to improve the parameter robustness of FCS-MPCC.[Methods]Firstly,the parameter mismatch robustness of FCS-MPCC was analyzed.Then,in order to solve the problem of under-ranking of three parameters identified by the traditional MRAS method,only the two parameters of inductance and flux linkage,which have a greater influence,were identified,so as to make the FCS-MPCC have a stronger parameter robustness.Finally,the impact of the resistance parameters mismatch of the MRAS model on the identification results and the performance of the motor control was analyzed.[Results]In order to verify the effectiveness of the proposed method,simulation analysis was carried out based on Matlab/Simulink platform.MRAS can accurately recognize the actual values of inductance and flux linkage with high recognition accuracy when the model resistance parameters were set correctly.Although FCS-MPCC and MRAS still need to set the resistance parameters,and the mismatch of the resistance parameters has a large impact on the identification results of the flux linkage parameters of MRAS,but because FCS-MPCC has a certain degree of robustness to the parameter changes,this effect was reflected in the FCS-MPCC has little impact.[Conclusion]FCS-MPCC selects the voltage vectors whose cost function is the minimum one,which can weaken effects of parameters mismatch and make FCS-MPCC robustness.As effect of resistance parameters mismatch is weak,only inductance and flux linkage are needed to be identified,so as to avoid the problem of under-ranking.Resistance parameters affect a significant impact on MRAS-based inductance and flux linkage identification,but demonstrate minimal influence on FCS-MPCC.关键词
永磁同步电机/模型预测电流控制/参数失配鲁棒性/参数辨识/模型参考自适应系统Key words
permanent magnet synchronous motor/model predictive current control/parameter mismatch robustness/parameter identification/model reference adaptive system分类
动力与电气工程引用本文复制引用
李耀华,黄汉旋,郭伟超,种国臣,王自臣,王钦政,高赛,徐志雄,刘亚辉,张茜..基于模型参考自适应参数辨识的永磁同步电机有限状态集MPCC[J].电机与控制应用,2025,52(6):596-607,12.基金项目
长安大学中央高校基本科研业务费专项资金资助(300102365821) Supported by the Fundamental Research Funds for the Central Universities,Chang'an University(300102365821) （300102365821）
