Electromagnetic Levitation System with Clustering based Fuzzy Controller

초록

This paper describes the development of a clustering based fuzzy controller of an electromagnetic suspension vehicle using gain scheduling method and Kalman filter for a simplified single magnet system. Electromagnetic suspension vehicle systems are highly nonlinear and essentially unstable systems. For achieving the levitation control, we considered a fuzzy system modeling method based on clustering algorithm which a set of input/output data is collected from the well defined Linear Quadratic Gaussian (LQG) con-troller. Simulation results show that the proposed clustering based fuzzy con-troller robustly yields uniform performance over the mass variation range.