摘要：Single gimbal control moment gyroscope(SGCMG)with high precision and fast response is an important attitude control system for high precision docking,rapid maneuvering navigation and guidance system in the aerospace *** this paper,considering the influence of multi-source disturbance,a data-based feedback relearning(FR)algorithm is designed for the robust control of SGCMG gimbal servo *** on adaptive dynamic programming and least-square principle,the FR algorithm is used to obtain the servo control strategy by collecting the online operation data of SGCMG *** is a model-free learning strategy in which no prior knowledge of the SGCMG model is ***,combining the reinforcement learning mechanism,the servo control strategy is interacted with system dynamic of *** adaptive evaluation and improvement of servo control strategy against the multi-source disturbance are ***,a data redistribution method based on experience replay is designed to reduce data correlation to improve algorithm stability and data utilization ***,by comparing with other methods on the simulation model of SGCMG,the effectiveness of the proposed servo control strategy is verified.