关键词: 模型预测控制, 无速度传感器控制, 扩展卡尔曼滤波

Abstract: Model predictive control strategy was used to control asynchronous motor stator current for obtaining the optimal stator current. Speed sensorless technology was adopted to get speed in order to reduce hardware costs as well as increasing system environmental adaptability and reliability. Motor speed information was obtained through extended Kalman filter algorithm. The simulation and experimental results show that the proposed speed sensorless model predictive control
method has good static and dynamic performance over a wide speed range.

Key words: model predictive control, speed sensorless control, extended Kalman filter ( EKF)