Abstract: For the issue that the efficient control of permanent magnet synchronous motor (PMSM) in electric vehicle, a fuzzy direct torque control (DTC) system without position sensor is proposed. Firstly, the fuzzy DTC is used instead of the traditional DTC to control the motor. Then, a fuzzy PI stator resistance estimator is proposed to estimate the stator resistance in real time, and compensate the stator resistance change caused by the environmental factors, so as to improve the estimation accuracy of the electromagnetic torque and stator flux in the fuzzy DTC. Finally, a model reference adaptive system (MRAS) is used to construct a motor speed estimator to realize the position sensorless control, so that it can reduce the system cost and improve the system reliability. The simulation results show that the proposed control system can precisely control the motor speed to follow the set value, and has good robustness.

Key words: Permanent magnet synchronous motor, fuzzy DTC, stator resistance estimator, model reference adaptive system

摘要： 针对电动汽车中永磁同步电机(PMSM)的高效控制问题，提出一种无位置传感器的模糊直接转矩控制(DTC)系统。首先，利用模糊DTC代替传统DTC对电机进行控制。然后，提出一种模糊PI定子电阻估计器来实时估计定子电阻，对由环境因素引起的定子电阻变化进行补偿，以此提高模糊DTC中电磁转矩和定子磁链的估计精度。最后，利用模型参考自适应系统(MRAS)构建一个电机转速估计器，实现无位置传感器的控制，以此降低系统成本并提高系统可靠性。仿真结果表明，提出的控制系统能够精确地控制电机转速跟随设定值，且具有很好的鲁棒性。

关键词: 永磁同步电机, 模糊DTC, 定子电阻估计器, 模型参考自适应系统