Design of PDC Controller based on T-S Fuzzy Model for Magnetic Bearing of HighSpeed Motors
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 fieldcircuit coupling analysis. The simulation results show that the proposed PDC controller has better performance than the conventional PID controller.
magnetic bearing field-circuit coupling analysis PDC controlle T-S fuzzy model
Dapeng Wang Fengxiang Wang
School of Electric Engineering Shenyang University of Technology Shenyang 110178, China
国际会议
成都
英文
602-606
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）