电机与控制应用2024，Vol.51Issue(4)：102-109,8.DOI:10.12177/emca.2024.009
基于滑模神经网络直接瞬时转矩控制的优化
Optimization of Direct Instantaneous Torque Control Based on Sliding Mode Neural Network
摘要
Abstract
For the sake of resolving the problem of large torque ripple problem of switched reluctance motor,especially under hysteresis control strategy,back propagation(BP)neural network control strategy is introduced on the account of traditional direct instantaneous torque control,and the direct instantaneous torque control is optimized and adjusted with the square of the torque error as the performance index function,which restrains the torque ripple of the motor during operation.In addition,based on the overall double closed-loop control,sliding mode control is introduced for the improvement of the speed link,which improves the response speed and robustness of the system.Finally,Matlab/Simulink is used for simulating the traditional direct instantaneous torque control and optimized direct instantaneous torque control,the effectiveness and feasibility of the proposed strategy are proved.关键词
开关磁阻电机/滑模控制/反向传播神经网络/直接瞬时转矩控制Key words
switched reluctance motor/sliding mode control/BP neural network/direct instantaneous torque control分类
信息技术与安全科学引用本文复制引用
赵晨,邓福军..基于滑模神经网络直接瞬时转矩控制的优化[J].电机与控制应用,2024,51(4):102-109,8.基金项目
辽宁省交通科技项目(202243)The Transportation Science and Technology Project of Liaoning Province,China(202243) （202243）
