电气传动2019，Vol.49Issue(1)：18-22,5.DOI:10.19457/j.1001-2095.dqcd18397
基于TSF与模糊开关角的SRM建模与控制系统仿真研究
Simulation Research of SRM Modeling and Control System Based on TSF and Fuzzy Switching Angle
摘要
Abstract
The model of switched reluctance moto(r SRM)directly aftects the performance analysis and the control effect of the motor while the SRM has the advantages of simple structure,but doubly salient switched reluctance motor structure and the magnetic circuit serious saturation,which makes it very difficult for accurate modeling. To solve this problem,a look-up table method based on BP neural network to establish the current and torque model of switched reluctance motor was proposed. Using the sample data obtained by the finite element software,the BP neural network was trained off-line,and the expected data was output. It was used for the SRM nonlinear model of table look-up. Torque ripple control could be effectively suppressed by using torque sharing control and fuzzy switching angle control. Simulation results show that the proposed method has fast torque calculation and high computational accuracy. It can meet the requirements of real-time control and reduce the torque ripple of the motor effectively.关键词
开关磁阻电机/BP神经网络/二维查表法/转矩分配控制/模糊开关角Key words
switched reluctance motor(SRM)/BP neural network/two-dimensional look-up table method/torque sharing control/fuzzy switching angle分类
信息技术与安全科学引用本文复制引用
郭金茹,栾茹,衣俊艳..基于TSF与模糊开关角的SRM建模与控制系统仿真研究[J].电气传动,2019,49(1):18-22,5.基金项目
北京市属高校基本科研业务费项目(X18069) （X18069）
