一种新的异步电机离线参数辨识方法

A new off-line parameter identification technique for asynchronous motors

针对传统离线参数辨识中存在易受干扰及误差累计等问题,提出一种新的异步电机离线参数辨识方法。该辨识方法采用折息递推算法,克服了传统递推最小二乘法存在的“数据饱和”问题;选择能够充分激励系统的伪随机序列作为输入信号,提高系统的抗干扰性。仿真分析和实验结果表明,参数辨识结果与设置的电机参数之间的误差均在3%以内,且通过折息递推方法得到的参数辨识结果相比于传统单相实验的辨识结果更稳定,证明了该辨识方法的实用性。

In order to solve the problem of interference and accumulative error in the traditional off-line parameter identification method,a static off-line parameter identification method for asynchronous motor is introduced in detail.The method uses the recursive algorithm to overcome the problem of“data saturation”in the traditional recursive least square method.And the pseudo random sequence that can fully stimulates the system is selected as the input signal to improve the anti-interference ability of the system.In this paper,the simulation study of the proposed method is carried out at first.The error between the parameters identification results and the parameters of the set motor is less than 3%,which proves the accuracy of the identification method.At last,a series of experiments are carried out on the three-phase asynchronous motor of 370W.The identification results of the method proposed in this paper are more stable than the identification results of the traditional single phase experiment,and the error between the reference values is less than 5%,which proves the feasibility of the identification method.