矢量控制异步电动机的转子电阻在线辨识方法

Online identification method of rotor resistance for slip vector-controlledinduction motors

提出了一种基于扩展卡尔曼滤波器的转子电阻在线辨识方法,推导了辨识算法,并根据此算法建立了一个矢量控制仿真模型。该方法对定子参数不敏感,且运算量小。仿真结果和实验结果表明,该方法具有较好的转子磁链控制效果,是简单可行的,很容易将此算法集成到现有的矢量控制系统中。

A novel rotor resistance identification method based on the extended Kalman filter (EKF) is proposed in this paper. The fundamental equations of EKF are introduced. According to these equations, the rotor resistance estimator using EKF and the simulation model of slip vector control system for induction motor are built separately. Some test results are given. The method is insensitive to stator resistance variation. Results of simulations and experiments show that the method is valid and has better performance. It is easy to integrate the proposed method with the control system for vector control induction motor.