The DTNN Identification Model of Magnetic Bearing of One Degree of Freedom

摘要：

The neural networks DTNN identification model is developed on the basis of the force analysis of magnetic bearing of one degree of freedom, which reflects the nonlinear delay character between input and output system. This network is able to quickly converge in 5 training steps. The mean square error value reduces to 3.495e-006 in 50 steps. Inspection shows that the neural networks DTNN identification model can fit the I/O character of the magnetic bearing of one degree of freedom within a permitted error range. This paper proposes a new approach for modeling magnetic hearing of one degree of freedom. and lays the foundation for the neural networks DT N, identification model of magnetic hearing-rotor system of five degree of freedom.

作者: Maoqing ZHANG Haini QU Yanrong ZHOU Junqiang GU Yu BAO

作者单位: School of Mechanical and Electric Engineering in Soochow University, Jiangsu, China, 215021

会议类型: 国际会议

会议名称: 第六届中国国际丝绸会议暨第二届国际纺织高层论坛(The 6th China International Silk Conference and The 2nd International Textile Forum)

会议地点: 苏州

会议语种:英文

页码: 253-258

在线出版日期: 2007-09-13（万方平台首次上网日期，不代表论文的发表时间）