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This paper introduces self-adaptive fuzzy PID controller to improve static and dynamic performance of magnetic suspension systems aiming at the characteristics of nonlinearity, hysteresis and uncertain model of the systems. The simulation results demonstrate that this fuzzy self-adaptive PID controller is more precise and less time-consuming for convergence, when uncertain parameters and disturbances exist at the same time, the system obtains better robust and stronger anti-interference ability.

The design of Self-adaptive Fuzzy PID Controller in Magnetic Suspension Systems