Radial Suspending Control for Magnetic Suspending Switched Reluctance Motor Based on BP Neural Network
In this paper the operation principle of magnetic suspending switched reluctance motor (MSRM) is introduced. The math model of suspending force is given. The control scheme bused on BP neural network combined with PID was presented for serious non-linearization of suspending switched reluctance motor radial force. The control algorithm is detailed. Simulations are carried out under the non-load and the load. The results both show that the rotor displacement can quickly follow the given displacement, which verifies the proposed method. The paper provides the basis for further experiment research.
magnate suspending switched reluctance motor PID neural network
Wu Zhao-Li Wang Xi-Lian Ge Bao-Ming
Electrical Engineering College, Beijing Jiaotong University Beijing, China
国际会议
成都
英文
1058-1061
2010-12-17(万方平台首次上网日期,不代表论文的发表时间)