Fuzzy modeling and control of a nonlinear magnetic bearing system

摘要

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. Werepresented the nonlinear magnetic bearing by the Takagi-Sugen-Kang (TSK) fuzzy model, where a 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. Simulation and experimentation results demonstrate that the controller provides excellent compensation for unstableonlinear characteristics of the magnetic bear mg system and maximizes the controller's valid region of operation,while guaranteeing pre-specified transient performance.