Parameter Identification and MTPA and Feed-Forward Control Study of Permanent Magnet Synchronous Motor
Aiming at the problems of traditional control algorithms,such as current allocation deviating from the optimal solution and poor stability when the motor parameters change,the on-line identification of the parameters is investigated,and the identification results are used in voltage feed-forward compensation and MTPA control algorithms to realize the complete decoupling of the alternating and straight axes and to improve the efficiency of MTPA control.The recursive least squares algorithm with variable forgetting fac-tor is used,and the balance between identification accuracy and identification speed is achieved by function-ally adjusting the forgetting factor.Simulation and experimental results show that,compared with the tradi-tional PI control and MTPA control,this algorithm can not only effectively improve the parameter dynamic discrimination effect,but also improve the current following accuracy,reduce the oscillation,and have better control accuracy and dynamic performance.
万方数据
维普
