Model-Free Speed Control of Single-Phase Flux Switching Motor with an Asymmetrical Rotor

This paper proposes and implements a model-free open-loop iterative learning control (ILC) strategy to realize the speed control of the single-phase flux switching motor (FSM) with an asymmetrical rotor. Base on the proposed winding control method, the asymmetrical rotor enables the motor to generate continuous positive torque for positive rotation, and relatively small resistance torque for negative rotation. An initial iteration coefficient and variable iteration coefficient optimized scheme was proposed based on the characteristics of the hardware circuit, thereby forming the model-free strategy. A series of prototype experiments was carried out. Experimental results verify the effectiveness and practicability of the proposed ILC strategy.