Abstract: To solve the problem that the performance of the stage multi-axis synchronous system is degraded due to the hidden degradation of the actuator and the system cannot meet the time limit of the control task, this paper proposes an autonomous maintenance strategy based on the system health perception feedback adjustment. Firstly, implementing a novel PdM module, the PdM framework of the stage multi-axis synchronous system was built. Second, considering the impact of maintenance actions and measurement noise on the actuator degradation process, the Kalman filter and EM algorithm were used to estimate the degradation state in real-time and update the parameters of the Wiener degradation model adaptively, enabling accurate prediction of theRUL of the system. Furthermore, the local terminal constraint of rolling change was incorporated into MPC in the manner of “breaking the whole into parts” through integrating the degradation state, RUL, maintenance target, and prediction step. The constraint matrix Q and R parameters were adaptively adjusted based on holographic feedback of system health information. Finally, it is demonstrated that the suggested technique can maintain the system in a long-term healthy operating condition by real-time health observation and adaptive feedback control of predictive maintenance through the simulation experiment.

Key words: stage multi-axis synchronization system, health perception, system life prediction, local terminal constraint, autonomous maintenanc