Guanyu Lai , Shizhuan Zou , Hanzhen Xiao , Zhaodong Su , Kai Huang , C.L. Philip Chen
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引用次数: 0
Abstract
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.
期刊介绍:
Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to:
• The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites
• The control of their environment
• The study of various systems they are involved in, as supports or as targets.
Authors are invited to submit papers on new advances in the following topics to aerospace applications:
• Fluid dynamics
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• Acoustics
• Optics
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• Signal and image processing
• Information processing
• Data fusion
• Decision aid
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• Robotics and intelligent systems
• Complex system engineering.
Etc.