A Sliding-PID-Fuzzy Control Strategy with High-Gain Observer for Axial Flux Permanent Magnet Motor Operation

The article details the design of a Sliding-PID-Fuzzy controller with a high-gain observer for the drive system of an axially-gapped permanent magnet motor. This motor integrated a magnetic bearing, torque, and axial force generated by the interaction of the stator magnetic field with the permanent magnet field of the rotor. Based on the dynamic state equations of the motor, the Sliding-PID-Fuzzy controller helps stabilize the rotor position and control the speed. Concurrently, the developed controller incorporates fuzzy logic techniques to effectively mitigate the classical chattering phenomenon caused by the control signal. The High-gain observer is applied to observe the system’s disturbance and pre-estimate uncertain components. Simulation results demonstrate that the control system exhibits strong stability, reduced steady-state error, and enhanced robustness.