Study on Fuzzy Adaptive Based Synchronous Control of Dual Motor Deviation Coupling

Abstract To address the motor synchronization errors in the take-up system, an improved deviation-coupled synchronous control strategy based on fuzzy adaptive PID control is proposed. Traditional dual-motor synchronization methods struggle under conditions of high speed, highly dynamic operation, and significant disturbances, particularly in mitigating synchronization errors and system oscillations caused by parameter variations and sensor delays. This paper establishes a pendulum-angle feedback model, introduces a dynamic velocity compensation mechanism and adaptive synchronization gains, and develops a fuzzy adaptive PID controller. The controller dynamically adjusts PID parameters in real-time using pendulum-angle errors and their rate of change as inputs, achieving precise control of the motors' speed difference. Simulink simulation results indicate that, compared to traditional PID control, the proposed method reduces motor speed overshoot by 75% and decreases disturbance recovery time by over 50%. Experimental validations confirm that the method significantly reduces pendulum-angle fluctuations, enhances dynamic response speed, and improves system stability, thus fulfilling practical engineering requirements.