Research On Life Prediction And Self-Maintenance Strategy Of Stage Multi-Axis Synchronization System

The modern stage multi-axis synchronization system is an important carrying equipment in various performance activities,and its operation process has closely interacted with the equipment,and safety is of paramount importance.However,at present,the stage system generally adopts corrective maintenance(CM)and time-based maintenance(TBM),which is difficult to meet the expectations of "saving the scene like fighting fire".Therefore,aiming at the safety risks caused by the degradation of actuators in the stage multi-axis synchronous system,based on the newly emerging idea of predictive maintenance(Pd M),this thesis carries out progressive research work around the establishment of the Pd M framework of the multiaxis system,the prediction of the remaining service life of the system under the implied degradation of single-axis and multi-axis actuators,and the online autonomous maintenance strategy,the main contents are as follows:1)The Pd M framework of stage multi-axis synchronization system based on health perception feedback adjustment is constructed.Through in-depth analysis of the existing Pd M defects in the application of the feedback system,combined with the maintenance requirements of the stage multi-axis system,based on the classical deviation coupling control structure of the stage system,the Dynamic Matrix Control(DMC)strategy is introduced,the Pd M module with feedback adjustment function is added,and a new Pd M framework with health perception feedback regulation function is constructed,which lays a foundation at the ideological level to meet the time limit requirements of the multi-axis synchronous system operation task.2)Aiming at the online prediction of maintenance requirements under single-axis implicit degradation of stage multi-axis synchronous system,an adaptive Pd M strategy is proposed.Considering the measurement noise,lack of degradation data,operating environment and maintenance intervention,the Wiener process model is used to describe the degradation process of the actuator,and the degradation state is estimated and the model parameters are updated online by combining Kalman filtering with EM and RTS algorithms to improve the prediction accuracy of the remaining useful life(RUL)of the system.Then,the degradation state,RUL,maintenance target and predicted step are combined to introduce the local terminal constraint of rolling change in DMC in the way of "rounding to zero",and the adaptive adjustment of the Q and R parameters of the constraint matrix is realized based on the holographic feedback of the system health state.After the simulation verification of the dual-axis stage lifting system,the proposed method can effectively improve the prediction accuracy of the system RUL and significantly improve the autonomous maintenance effect of the multi-axis system.3)Aiming at the online prediction maintenance requirements under the implied degradation of multiple actuators in the stage multi-axis synchronous system,a Pd M strategy with variable failure threshold constraint is proposed.Considering the coupling effect of the degradation process of each actuator,considering its influence on the drift parameters of the Wiener model,taking into account the measurement noise,and defining the system RUL based on the first arrival time with the dual indicators of synchronization error and steady-state error,particle filtering and Monte Carlo algorithm were used to estimate the degradation state of the actuator and the system RUL distribution.Considering the uncertainty of the actuator failure threshold under the multi-axis degradation of the system,the Monte Carlo algorithm is used to determine the variable failure threshold at different prediction moments,and the DMC local terminal constraint is introduced to replace the fixed failure threshold under the single axis,so that the adjustment process of the constraint matrix is more in line with the actual health state of the system.The prediction of RUL under the constraint of dual indicators is more reliable and universal for multi-axis systems,and the introduction of variable failure threshold further improves the maintenance ability of multi-axis systems.