Electromagnetic Levitation System with Clustering Based Fuzzy Controller

  • Authors:

  • Min-Soo Kim;Yeun-Sub Byun

  • Affiliations:

  • Maglev Train System Research Team, Korea Railroad Research Institute, 360-1 Woram-dong, Uiwang-si, Gyeonggi-do, Korea;Maglev Train System Research Team, Korea Railroad Research Institute, 360-1 Woram-dong, Uiwang-si, Gyeonggi-do, Korea

  • Venue:
  • ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
  • Year:
  • 2007

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Abstract

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) controller. Simulation results show that the proposed clustering based fuzzy controller robustly yields uniform performance over the mass variation range.