Neural fuzzy control to minimize torque ripple of SRM

摘要：

The Switched Reluctance Motors (SRMs) exhibits high nonlinear characteristics,it is difficult to employ conventional control algorithms to achieve the desired dynamic performances for nonlinear SRMs.It is proposed,in this paper,a new kind of neural fuzzy controller to tackle the problem of torque ripple reduction in Switched Reluctance Motor Drive,which does not require the precise mathematical model of the system and offers an obvious advantage over traditional PID control system.The simulation results show that the neural fuzzy control strategy possesses superior performance in reducing low frequency torque ripple and torque dip,and demonstrate the effectiveness and feasibility of the proposed scheme.

关键词： neural networks fuzzy logic switched reluctant motor torque ripple reduction.

作者: Jian Liu Feng Qiao Bin Li Caiyun Li

作者单位: Faculty of Information and Control Engineering,Shenyang Jianzhu University,9 Hunnan East Road,Hunnan Faculty of Transportation and Machinery,Shenyang Jianzhu University,9 Hunnan East Road,Hunnan New Di

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）