基于最优角度自适应TSF的SRM直接瞬时转矩控制

针对开关磁阻电机（SRM）在换相区转矩脉动大、运行效率低的问题，提出了一种基于最优角度自适应转矩分配函数（TSF）的SRM直接瞬时转矩控制（DITC）方法。首先，在电机全速范围内选取部分代表性转速，获得相应转速下最大平均转矩对应的最优开关角；然后，用离散的最优开关角数据训练改进的BP神经网络，获得全速范围内的最优开关角，从而使TSF根据不同转速动态地调整其形状，获得自适应能力，达到抑制换相区转矩脉动的目的。为验证所提方法的有效性，以一台3相6/4极SRM搭建仿真模型和实验平台，结果表明，所提方法有效抑制了换相区的转矩脉动，并提升了系统的运行效率。 

Direct instantaneous torque control of switched reluctance motor based on optimal angle adaptive TSF

Aimed at the problem that the switched reluctance motor (SRM) has large torque ripple and low operating efficiency in the commutation area, this paper proposes an SRM direct instantaneous torque control (DITC) method based on the optimal-angle-based adaptive torque sharing function (TSF). Firstrly, the representative speed of the motor is selected in the full speed range, and the optimal switch angle corresponding to the maximum average torque at the corresponding speed is obtained. Then, the improved BP neural network is trained with discrete optimal switch angle data to obtain the optimal switch angle in the full speed range. Therefore, the TSF can dynamically adjust the shape of the TSF according to different rotation speeds, obtain the adaptive ability, and achieve the purpose of suppressing the torque ripple of the commutation area. In order to verify the effectiveness of the proposed method, a three-phase 6/4-pole SRM based simulation model and experimental platform are built. The results show that the proposed method effectively suppresses the torque ripple in the commutation area and improves the system operation efficiency.