Fixed-time adaptive fault-tolerant control with predefined tracking accuracy for satellite systems

被引:0
作者
Lai, Guanyu [1 ,2 ]
Zou, Shizhuan [2 ]
Xiao, Hanzhen [2 ]
Su, Zhaodong [2 ]
Huang, Kai [2 ]
Chen, C. L. Philip [3 ]
机构
[1] Guangdong Univ Technol, State Key Lab Precis Elect Mfg Technol & Equipment, Guangzhou 510006, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
[3] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Guangdong, Peoples R China
关键词
Fault-tolerant control; Fixed-time stability; Fuzzy logic systems; Satellites; Nonlinear systems; ACTUATOR FAILURE COMPENSATION; SLIDING-MODE CONTROL; UNCERTAIN NONLINEAR-SYSTEMS; FUZZY CONTROL; SUBJECT; DESIGN;
D O I
10.1016/j.ast.2025.110088
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The development of space technology put forward higher demands on the satellite position tracking control, i.e., the system steady states behavior and transient performance. However, due to the presence of unknown dynamics uncertainties and actuator failures, the control performance of traditional adaptive control schemes is unsatisfactory. In this work, we study the position tracking control problem of uncertain nonlinear satellite systems in the presence of unknown actuator failures, which is a challenging problem when a predefined tracking accuracy and a fixed convergence time are required simultaneously. To overcome the difficulties, a backstepping recursive design based on smooth functions is proposed, and well combined with adaptive actuator failure compensation approach, based on which a prescribed fixed-time adaptive fault-tolerant control scheme is developed. With our scheme, it can be rigorously proved that all closed-loop signals are bounded, and the position-related tracking errors converge to predefined intervals in a bounded settling time regardless of the occurrence of actuator failures. The effectiveness of the proposed scheme is verified by a simulation tests based on a practical geostationary earth orbit satellite.
引用
收藏
页数:11
相关论文
共 46 条
[11]   Prescribed fixed-time adaptive fuzzy control for uncertain MIMO nonlinear systems with Preisach operators [J].
Huang, Kai ;
Lai, Guanyu ;
Zhang, Yun ;
Liu, Zhi ;
Wu, Yuanqing ;
Chen, C. L. Philip .
NONLINEAR DYNAMICS, 2024, 112 (01) :471-489
[12]   Finite-time fuzzy adaptive output feedback control of electro-hydraulic system with actuator faults [J].
Jiang, Chenyang ;
Sui, Shuai ;
Tong, Shaocheng .
INFORMATION SCIENCES, 2023, 623 :577-591
[13]   Robust fault-tolerant control for power systems against mixed actuator failures [J].
Kaviarasan, B. ;
Sakthivel, R. ;
Kwon, O. M. .
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2016, 22 :249-261
[14]   Fixed-time adaptive fuzzy control scheme with prescribed tracking accuracy for uncertain nonlinear hysteretic systems [J].
Lai, Guanyu ;
Huang, Kai ;
Li, Liang ;
Liu, Zhi ;
Zhang, Yun ;
Chen, C. L. Philip .
JOURNAL OF THE FRANKLIN INSTITUTE, 2023, 360 (09) :5969-5995
[15]   Robust finite time control algorithm for satellite attitude control [J].
Li, You ;
Ye, Dong ;
Sun, Zhaowei .
AEROSPACE SCIENCE AND TECHNOLOGY, 2017, 68 :46-57
[16]   Adaptive Fuzzy Tracking Control of Flexible-Joint Robots Based on Command Filtering [J].
Ling, Song ;
Wang, Huanqing ;
Liu, Peter X. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (05) :4046-4055
[17]   Robust adaptive neural network event-triggered compensation control for continuous stirred tank reactors with prescribed performance and actuator failures [J].
Liu, Kaiyue ;
Chen, Juan .
CHEMICAL ENGINEERING SCIENCE, 2021, 245
[18]   Adaptive Neural Control for a Class of Nonlinear Time-Varying Delay Systems With Unknown Hysteresis [J].
Liu, Zhi ;
Lai, Guanyu ;
Zhang, Yun ;
Chen, Xin ;
Chen, Chun Lung Philip .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (12) :2129-2140
[19]   Fixed-Time Adaptive Fuzzy Control for Uncertain Nonlinear Systems [J].
Lu, Kaixin ;
Liu, Zhi ;
Wang, Yaonan ;
Chen, C. L. Philip .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (12) :3769-3781
[20]   Resilient Adaptive Neural Control for Uncertain Nonlinear Systems With Infinite Number of Time-Varying Actuator Failures [J].
Lu, Kaixin ;
Liu, Zhi ;
Wang, Yaonan ;
Chen, C. L. Philip .
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (06) :4356-4369