Data-driven model-free adaptive attitude control of partially constrained combined spacecraft with external disturbances and input saturation

作     者：Han GAO Guangfu MA Yueyong LYU Yanning GUO 

作者机构：Department of Control Science and Control Engineering Harbin Institute of Technology 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2019年第32卷第5期

页      面：1281-1293页

核心收录：

学科分类：08[工学] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0801[工学-力学（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China(Nos.61603114,61673135) the Fundamental Research Funds for the Central Universities of China(No.HIT.NSRIF.201826) 

主　　题：Attitude control Combined spacecraft Data-driven control Discrete Extended State Observer(DESO) Input saturation 

摘      要：This study presents an improved data-driven Model-Free Adaptive Control(MFAC)strategy for attitude stabilization of a partially constrained combined spacecraft with external disturbances and input saturation. First, a novel dynamic linearization data model for the partially constrained combined spacecraft with external disturbances is established. The generalized disturbances composed of external disturbances and dynamic linearization errors are then reconstructed by a Discrete Extended State Observer(DESO). With the dynamic linearization data model and reconstructed information, a DESO-MFAC strategy for the combined spacecraft is proposed based only on input and output data. Next, the input saturation is overcome by introducing an antiwindup compensator. Finally, numerical simulations are carried out to demonstrate the effectiveness and feasibility of the proposed controller when the dynamic properties of the partially constrained combined spacecraft are completely unknown.