Experiments in fuzzy logic based control of a magnetic bearing system
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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.
author list (cited authors)
Hong, S., Langari, R., & May, D.