LMS 알고리즘을 이용한 전자기 베어링계에서의 런아웃, 불균형력 및 와전류 효과 규명

Identification of Runout. Unbalance and Eddy Current Effect in Active Magnetic Bearing System Using LMS Algorithm

This paper proposes an adaptive feedforward controller (AFC) based on LMS for periodic disturbance rejection in active magnetic bearing system. The proposed controller does not alter the stability and robustness of the existing AMB system. It is shown that the control delay due to the eddy current as well as runout and unbalance can be identified and compensated using the estimated displacement from the measured magnetic flux. The simulation results confirm that the proposed scheme successfully identifies and compensates for the runout, unbalance and eddy current effect, leading to a high-precision magnetic bearing system.