基于EKF和CKF的异步电机无速度传感器矢量控制对比研究

Vector control comparative studyl of asynchronous motor without speed sensorbased on EKF and CKF

扩展卡尔曼滤波算法(EKF)在交流调速矢量控制技术中虽然具有良好的估计效果,但估计精度不高且实际应用较困难。针对此情况,本文应用容积卡尔曼滤波算法(CKF),基于CKF的异步电机无速度传感器矢量控制系统在低速、中速以及高速条件下验证其估计效果,并在动态估计时与EKF进行了比较分析。仿真结果表明,该系统具有更好的跟踪效果,且CKF较EKF有更高的估计精度,能明显提高系统的转速估计效果。最后,采用DSP(F2812)进行实验验证了CKF对磁链和转速估计的可行性。

EKF has good estimation effect in AC variable speed vector control technology,but the estimation accuracy is not high and practical application is difficult. In view of this situation,this paper applies a volumetric Kalman filter（CKF）. In the paper,vector control system of speed sensorless induction motor based on CKF is used to verify its estimation results under low speed,medium speed and high speed. And result of the vector control system of speed sensorless induction motor based on EKFis compared in dynamic estimation. The simulation results show that the system has a better tracking effect,and CKF has the higher estimation accuracy than EKF,which can obviously improve the speed estimation effect of the system. Finally,DSP（F2812） is used in this paper to verify the feasibility of CKF for flux linkage and speed estimation.