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针对扩展卡尔曼滤波器（EKF）对模型误差鲁棒性差的问题，提出了基于强垠踪滤波器（SIF）的永磁同步电机（PMSM）无速度传感器直接转矩控制（DTC）策略，该方法利用永磁同步电机定子坐标系下的非线性数学模型和强跟踪滤波技术建立了STF观测器，从而实现了对电机定子磁链、转速和转子位置的实时在线观测。仿真结果表明，STF观测器可以准确地观测出电机定子磁链和转速，同时与EKF观测器相比，该观测器对于系统参数摄动、外部干扰等系统模型失配具有更强的鲁棒性。“,”To solve the problem of poor robustness in the extended Kalman filter （EKF） when the model error existed, a speed sensorless direct torque control （DTC） strategy was proposed for permanent magnet synchronous motor （PMSM） based on strong tracking filter （STF）. An STF observer was established based on PMSM＇s nonlinear mathematical models in the stator coordinate and STF technology, thus real-time online observation of the motor stator flux linkage, speed and the rotor position could be realized. Simulation results indicate that the motor stator flux linkage and speed can be accurately observed by STF and compared with the EKF observer, and the STF observer is more robust for the system parameter perturbation, external interference and other model mismatches.