基于动态遗忘因子递推最小二乘法的永磁同步电机参数辨识算法

针对固定遗忘因子递推最小二乘法(RLS)在永磁同步电机参数识别中难以同时保证快速性和鲁棒性的问题,提出一种动态调节遗忘因子大小的递推最小二乘参数识别算法。分析了遗忘因子对RLS算法的影响特性,以理论模型与实际模型输出的差值为变量构建遗忘因子调节函数,实现遗忘因子动态调整。仿真结果表明,相比于固定遗忘因子RLS算法,改进算法可以同时保证稳态抗干扰与动态快速收敛能力,具有优越性。

PARAMETER IDENTIFICATION ALGORITHM OF PERMANENT MAGNET SYNCHRONOUS MOTOR BASED ON DYNAMIC FORGETTING FACTOR RECURSIVE LEAST SQUARE METHOD

Aiming at the problem that the fixed forgetting factor recursive least squares(RLS)is difficult to guarantee both fastness and robustness in the parameter identification of permanent magnet synchronous motor,this paper proposes a recursive least squares parameter identification algorithm for dynamically adjusting the forgetting factor size.The influence characteristics of the forgetting factor on the RLS algorithm were analyzed.The forgetting factor adjustment function was constructed by the difference between the theoretical model and the actual model output,and the dynamic adjustment of the forgetting factor was realized.The simulation results show that compared with the fixed forgetting factor RLS algorithm,our algorithm can guarantee the anti-interference and dynamic fast convergence ability at the same time,and has the superiority.