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

被引：0

作者：

Liu Y. ^{[1
]}

Li J. ^{[2
]}

Shan C. ^{[2
]}

机构：

[1] Aeronautics Engineering College, Air Force Engineering University, Xi'an

[2] Graduate School, Air Force Engineering University, Xi'an

来源：

Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2019年 / 45卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Adaptive torque sharing function (TSF); BP neural network; Direct instantaneous torque control (DITC); Switched reluctance motor (SRM); Torque ripple;

D O I：

10.13700/j.bh.1001-5965.2019.0101

中图分类号：

学科分类号：

摘要：

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. © 2019, Editorial Board of JBUAA. All right reserved.

引用

页码：2152 / 2159

页数：7

共 17 条

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