Life Prediction and Life Extension Control of Multi-Motor Synchronous Control Systems

This paper proposes a Dynamic Matrix Control (DMC)-PID cascaded life extension control method based on Remaining Useful Life (RUL) prediction for a class of multi-motor synchronous control systems considering single-axis actuator degradation. Initially, the observed data containing measurement noise are reduced using Kalman filtering, and the system is modeled for degradation and life prediction using the Wiener process. Subsequently, based on the results of the system's life prediction, the element values of the DMC constraint matrices Q and R are dynamically adjusted, with the aim of slowing down the degradation of the actuator and prolonging the service life of the synchronous system of motors. System simulation experiments validate the effectiveness of the methodology presented in this paper.