【目的】针对永磁同步电机的有限状态集模型预测电流控制(FCS-MPCC)参数失配导致的控制性能下降的问题,采用模型参考自适应系统(MRAS)对电机参数进行辨识,以提高FCS-MPCC的参数鲁棒性。【方法】首先,对FCS-MPCC进行参数失配鲁棒性分析;然后,为解决传统MRAS方法辨识3个参数的欠秩问题,仅对影响较大的电感与磁链2个参数进行辨识,使FCS-MPCC具有更强的参数鲁棒性;最后,分析MRAS模型电阻参数失配对辨识结果与电机控制性能的影响。【结果】为了验证所提方法的有效性,基于Matlab/Simulink平台进行了仿真分析。模型电阻参数设置正确下MRAS可以准确辨识出电感与磁链的实际值,辨识精度高。虽然FCS-MPCC与MRAS仍需设置电阻参数,且电阻参数失配对MRAS辨识磁链参数结果影响较大,但由于FCS-MPCC对参数变化具有一定的鲁棒性,这种影响体现在FCS-MPCC上较小。【结论】FCS-MPCC采用成本函数寻最小的非定量控制环节来确定最优电压矢量,减弱参数失配的影响,具有一定的参数鲁棒性。电阻参数失配影响较小,无需精确辨识,仅需估计电感和磁链,从而避免欠秩问题。电阻参数会影响MRAS对电感和磁链的辨识效果,但对FCS-MPCC影响较小。

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.

长安大学中央高校基本科研业务费专项资金资助(300102365821)