An Improved DITC Control Method Based on Turn-on Angle Optimization  

作　　者：Chaozhi Huang Wensheng Cao Zhou Chen Yuliang Wu Yongmin Geng 

机构地区：[1]the School of Electrical and Automation,Jiangxi University of Science and Technology,Ganzhou 341000,China [2]CES

出　　处：《CES Transactions on Electrical Machines and Systems》2023年第4期379-389,共11页中国电工技术学会电机与系统学报（英文）

基　　金：supported by National Natural Science Foundation of China under Grant 52167005;Science and Technology Research Project of Jiangxi Provincial Department of Education under Grant GJJ200826。

摘　　要：Switched reluctance motor(SRM)usually adopts Direct Instantaneous Torque Control(DITC)to suppress torque ripple.However,due to the fixed turn-on angle and the control mode of the two-phase exchange region,the conventional DITC control method has low adaptability in different working conditions,which will lead to large torque ripple.For this problem,an improved DITC control method based on turn-on angle optimization is proposed in this paper.Firstly,the improved BP neural network is used to construct a nonlinear torque model,so that the torque can be accurately fed back in real time.Secondly,the turn-on angle optimization algorithm based on improved GRNN neural network is established,so that the turn-on angle can be adjusted adaptively online.Then,according to the magnitude of inductance change rate,the two-phase exchange region is divided into two regions,and the phase with larger inductance change rate and current is selected to provide torque in the sub-regions.Finally,taking a 3-phase 6/20 SRM as example,simulation and experimental verification are carried out to verify the effectiveness of this method.

关 键 词：Switched Reluctance Motor Turn-on Angle Optimization Neural Network Inductance Change Rate Torque Ripple 

分 类 号：TM352[电气工程—电机]