Position Estimation for Self-Sensing Magnetic Bearings using Artificial Neural Network

摘要：

　　Although signal injection,state observer and parameter estimation methods were previously studied for self-sensing AMBs,variety of nonlinear effects such as eddy current,magnetic saturation and coil flux leakage make it difficult to apply for industrial applications.In this paper,we study a position estimation for self-sensing active magnetic bearings(AMBs)using artificial neural network(ANN),especially RNN method.Mathematical model of self-sensing AMBS are introduced including PWM duty,average current,current ripple and current slope,and various nonlinear effects are investigated quantitatively.We applied ANN method to deal with the non-linear effects of self-sensing AMBs.Finally,self-sensing AMBs using ANN are simulated by MATLAB Simulink its performances are compared with previous self-sensing methods.

作者: Seong Jong YOU Hyeong-Joon AHN

作者单位: Department of Mechanical engineering,Graduate school,Soongsil University,Seoul 06978,Korea School of Mechanical engineering,Soongsil University,Seoul 06978

会议类型: 国际会议

会议名称: the 16th International Symposium on Magnetic Bearings (第十六届国际磁悬浮轴承大会) (ISMB6)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2018-08-13（万方平台首次上网日期，不代表论文的发表时间）