基于EKF的感应电机无传感器MRFAC控制器设计

Controller Design without Sensor MRFAC Based on EKF Induction Machine

提出了一种基于扩展卡尔曼滤波(EKF)的感应电机(IM)无传感器模型参考模糊自适应(MRFAC)控制器的设计方法。利用EKF算法,通过测量电机的端电压和流过定子线圈的电流在线估计电机转子的位置和速度;利用模糊自适应机构替代常规自适应机构,构成一个模型参考模糊自适应系统,从而实现具有较强自适应和抗干扰能力的感应电机无传感器矢量控制系统。仿真结果表明:该感应电机无传感器矢量控制系统具有良好的调速性能和转矩响应。

This paper proposed the design method based on the EKF IM MRFAC controller. Using the EKF algorithm, through the survey on the electrical machinery of the terminal voltage and the electric current passing the electronic coil, the electrical machinery rotor position and the speed can be estimated online; using blur auto - suitable organization to substitute convention from the auto - suitable organization to constitute a model parameter to blur from the suitable system, IM vector control system of the strong fuzzy auto - adapted and the disturbance ability comes true. The simulation result indicated that this IMMRFAC system has the good velocity modulation performance and the torque response.