Full-State-Constrained Non-Certainty-Equivalent Adaptive Control for Satellite Swarm Subject to Input Fault

作     者：Zhiwei Hao Xiaokui Yue Haowei Wen Chuang Liu Zhiwei Hao;Xiaokui Yue;Haowei Wen;Chuang Liu

作者机构：National Key Laboratory of Aerospace Flight DynamicsSchool of AstronauticsNorthwestern Polytechnical UniversityXi’an 710072China IEEE 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2022年第9卷第3期

页      面：482-495页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 080201[工学-机械制造及其自动化] 

基　　金：supported by the Natural Science Foundation of Shaanxi Province(2020JQ-132) China Postdoctoral Science Foundation(2020M683571) National Natural Science Foundation of China(62103336,11972026,U2013206) Funds for the Central Universities(3102019HTQD007) 

主　　题：Dynamic scaling full-state constraints input faulttolerance non-CE adaptive control satellite swarm 

摘      要：Satellite swarm coordinated flight(SSCF)technology has promising applications,but its complex nature poses significant challenges for control *** response,this paper proposes an easily solvable adaptive control scheme to achieve high-performance trajectory tracking of the SSCF system subject to actuator efficiency losses and external *** existing adaptive controllers based on the certaintyequivalent(CE)principle show unpredictability and nonconvergence in their online parameter *** overcome the above vulnerabilities and the difficulties caused by input failures of SSCF,this paper proposes an adaptive estimator based on scaling immersion and invariance(I&I),which reduces the computational complexity while improving the performance of the parameter ***,a barrier Lyapunov function(BLF)is applied to satisfy both the boundedness of the system states and the singularity avoidance of the *** is proved that the estimator error becomes sufficiently small to converge to a specified attractive invariant manifold and the closed-loop SSCF system can obtain asymptotic stability under full-state ***,numerical simulations are performed for comparison and analysis to verify the effectiveness and superiority of the proposed method.