关键词: 表贴式永磁同步电机, 增量式模型, 模型预测电流控制, 模型参考自适应系统, 参数辨识, 实时性能

Abstract: For surface permanent magnet synchronous motor,in order to mitigate the impact of parameter mismatch on the model predictive current control,the incremental current prediction model is used to reduce the flux linkage parameter, and the identification parameters are reduced to two parameters,inductance and resistance,to avoid under-ranking problem of parameter identification. The parameter sensitivity analysis shows that the resistance parameter mismatch has very little effect on the model predictive current control and does not need to be identified,thus four parameter identification schemes are obtained:( a) identification of inductance and resistance based on d、q - axis current,( b) identification of inductance only based on d、 q - axis current, ( c ) identification of inductance based on d - axis current, and ( d ) identification of inductance based on q-axis current. The model reference adaptive system( MRAS) is used to validate the four parameter identification schemes, in which the identification schemes ( b ) ~ ( d ) need to set the resistance parameter, and the identification results show that inaccurate setting of the resistance parameter has basically no effect on the inductance parameter identification and model predictive control performance of the identification schemes ( b) ~ ( d) . Considering the identification effect and real-time performance of the parameter identification schemes,incremental model predictive current control for surface mounted permanent magnet synchronous motors, the inductor parameter identification scheme based on the d-axis current equation is optimal in terms of overall performance

Key words: surface permanent magnet synchronous motor, incremental model, model predictive current control, model reference adaptive system, parameter identification, real-time performance