Design Of Fuzzy Kalman Filter For Air-Gap Disturbance Attenuation Of Magnetic Levitation System

In this paper, a feedback controller using the fuzzy Kalman filter that attenuates air-gap disturbance in a magnetic levitation system is proposed. One of the core technology of the magnetic levitation system is a levitation control to maintain a constant air-gap. The magnetic levitation system which shows unsatisfactory performance under air-gap disturbance due to rail irregularities is modeled. Takagi-Sugeno fuzzy system is used for the modeling of a nonlinear magnetic levitation system, and the Kalman filter is utilized to improve the modeling results. In this sense the fuzzy Kalman filter is obtained. This approach can solve the problem by the conventional state-feedback control. Finally, the effectiveness of the proposed method is demonstrated by simulation.