Experiments in fuzzy logic based control of a magnetic bearing system Conference Paper uri icon

abstract

  • This paper deals with the control of a levitated object with position dependent nonlinearity. We applied the fuzzy modeling and control to a nonlinear magnetic bearing system to obtain uniform desired performance over the entire clearance. We represented the nonlinear magnetic bearing by the Takagi-Sugeno-Kang(TSK) fuzzy model, where nonlinear global model is approximated by a set of linear local models. Then a model-based fuzzy controller, the so-called parallel distributed compensation(PDC), is employed. Experimental results demonstrate that the controller provides excellent compensation for unstable/nonlinear characteristics of the magnetic bearing system and maximizes the controller's valid region of operation, while guaranteeing pre-specified transient performance.

name of conference

  • 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297)

published proceedings

  • 1997 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS

author list (cited authors)

  • Hong, S. K., Langari, R., & May, D.

complete list of authors

  • Hong, SK||Langari, R||May, D

publication date

  • January 1, 1997 11:11 AM