摘要：针对无传感器无刷直流电机位置信号不易获得的问题，根据无刷直流电机的数学模型，使用扩展卡尔曼滤波器EKF设计了用来观测电机转子转速和位置信号的状态观测器。并且在Matlab/Simulink中搭建了无刷直流电机控制系统的模型，在仿真环境下使用EKF观测器对该模型的转速和位置信号进行了准确的观测，从而验证了该状态观测器的有效性。
关键词：无传感器; 无刷直流电机; EKF; Matlab/Simulink

Abstract: According to the mathematical model of brushless DC motor(BLDCM),  presented a method for estimating the rotor position and velocity of BLDCM using an extended Kalman filter(EKF) . The proposed method was simulated in matlab/simulink to testify the feasibility of it.
Key words: sensorless, BLDCM, EKF, Matlab/Simulink