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Magnetic bearings can not only solve the bearing wear and life problems but also reduce the loss and noise of bearings. However, the strong non-linear and uncertainty of parameter of the magnetic bearings make the traditional PID controller difficult to ensure its long-term and stable operation. Based on the T-S fuzzy model, this paper presents a design method of magnetic bearing parallel-distributed compensation (PDC) controller for high speed motors. Firstly, linear local Takagi-Sugeno (T-S)-fuzzy model for magnetic bearing subsystem and nonlinear model for the overall system is deduced. Then the fuzzy state feedback nonlinear controller for the overall system is obtained via parallel-distributed compensation (PDC) approach and judging the stability of designed controller. Finally, the validity of controller design is verified by means of the field-circuit coupling analysis. The simulation results show that the proposed PDC controller has better performance than the conventional PID controller.
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on (Volume:1 )
Date of Conference: 9-11 July 2010