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Data⁃Based Feedback Relearning Algorithm for Robust Control of SGCMG Gimbal Servo System with Multi⁃source Disturbance

Data⁃Based Feedback Relearning Algorithm for Robust Control of SGCMG Gimbal Servo System with Multi⁃source Disturbance

作     者:ZHANG Yong MU Chaoxu LU Ming 张勇;穆朝絮;鲁明

作者机构:School of Electrical and Information EngineeringTianjin UniversityTianjin 300072P.R.China Beijing Institute of Control EngineeringBeijing 100190P.R.China 

基  金:This work was supported by the National Natural Science Foundation of China(No.62022061) Tianjin Natural Science Foundation(No.20JCYBJC00880) Beijing Key Laboratory Open Fund of Long-Life Technology of Precise Rotation and Transmission Mechanisms 

出 版 物:《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报(英文版))

年 卷 期:2021年第38卷第2期

页      码:225-236页

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.

主 题 词:control moment gyroscope feedback relearning algorithm servo control reinforcement learning multisource disturbance adaptive dynamic programming 

学科分类:080904[080904] 0810[工学-土木类] 0809[工学-计算机类] 08[工学] 080402[080402] 0804[工学-材料学] 081001[081001] 

核心收录:

D O I:10.16356/j.1005-1120.2021.02.004

馆 藏 号:203103263...

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