基于自适应补偿的异步电机静止参数辨识方法

在异步电机调速系统中,电机参数的精度直接影响着系统的控制性能。为了获得准确的电机参数,提出了一种异步电机在静止状态下的参数辨识方法。采用了一种自适应的方法对器件的非线性进行补偿,从而提高了算法的辨识精度和鲁棒性。考虑到电机的磁滞效应对电机互感的影响,在传统单相交流实验的基础上叠加1个直流电流,利用此直流电流先将电机磁场激励起来,从而准确地辨识出电机在额定励磁情况下的互感值。最后实验证明了此方法可以准确辨识出电机的全部参数。

Parameters Estimation of Induction Motors at a Standstill With Adaptive Nonlinearity Compensation

In the induction motors(IM) drive system,the control performance is highly dependent on the accuracy of the parameters of IM.In order to obtain the parameters of IM accurately,a parameter identification method at standstill was proposed.The nonlinearity of the inverter was taken into account and compensated adaptively to improve the estimation precision.In addition,the influence due to the magnetic hysteresis phenomenon when calculating the mutual inductance was also considered.The mutual inductance was estimated at the rated magnetizing level by superimposing a direct current into the traditional single phase alternating current.The feasibility of the proposed scheme was verified by the experimental results which show a high estimation accuracy of induction motor parameters.