Finite-Time Synchronization Control of Spacecraft Formation With Network-Induced Communication Delay
Author(s) -
Ruixia Liu,
Xibin Cao,
Ming Liu
Publication year - 2017
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2772319
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
This paper addresses the distributed orbit synchronization control of spacecraft formation flying under an undirected connected graph and in the presence of unknown external disturbances and communication time-delay. A nonsingular fast terminal sliding mode (NFTSM) control strategy, which can solve the singularity and slow convergence to the equilibrium problems of terminal sliding mode (TSM) control, is developed for spacecraft formation. Considering only desired signals are needed for the basis functions of Chebyshev neural networks (CNN) implemented, a CNN is employed to approximate the nonlinear function and bounded external disturbances. Based on the NFTSM and CNN approximation, a distributed finite-time synchronization control law is designed and its finite-time convergence property is proven in theory. Moreover, in order to guarantee good performance for the spacecraft formation control with communication delay, a distributed finite-time synchronization control scheme with communication delay is also given and the uniform ultimate boundedness of all signals in the closed-loop control system is proven. Finally, a numerical example is illustrated to demonstrate the effectiveness of the proposed control strategies.
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