基于参数辨识的永磁同步电机控制系统的设计

在电机参数未知的永磁同步电机控制系统设计中,为提高控制性能,需要对电机参数进行辨识. 利用Popov稳定性定理对辨识系统的自适应率进行了设计;针对逆变器的死区效应,选用旋转坐标法对辨识器的输入电压进行补偿,通过辨识得到的电机电阻和dq轴电感参数. 在此基础上,建立电机的数学模型并运用工程设计方法对电机控制器的参数进行设计. 实验结果表明采用补偿后的电压进行参数辨识得到的电机参数要更加准确,并且基于电机数学模型进行控制器参数的设计能够减少控制器参数调试的工作量和时间,最终得到的电机控制系统具有较优的动态性能. 

Design of PMSM Control System Based on Parameters Identification

For a permanent magnet synchronous motor (PMSM) control system with unknown motor parameters, it is important to identify the motor parameters to improve its control performance. This research uses Popov's hyper-stability theory to design the adaptive law of identifying system. The approach of coordinate rotation was used to compensate the input voltage drop caused by dead time characteristic of inverter. Values of stator resistance and dq-axis inductance were obtained by identification. Based on the identification results, the motor model was constructed and its controller parameters could be designed by engineering design methods. Experimental results show that the accuracy of identification could be improved with the dead time compensation and the motor model based design method of controller parameters could reduce the time of parameters debugging. As a result, the dynamic performance of the motor control system is good.