期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷 33, 期 11, 页码 6226-6234出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2021.3072907
关键词
Space vehicles; Vibrations; Neural networks; Adaptive systems; Lyapunov methods; Backstepping; Uncertainty; Adaptive neural network control; asymmetric constraint; backstepping technique; flexible unmanned spacecraft; vibration control
类别
资金
- National Natural Science Foundation of China [61203060]
- Science and Technology Planning Project of Guangdong Province [2019A050510015]
- Guangdong Basic and Applied Basic Research Foundation [2020B1515120071]
- Fundamental Research Funds for the Central Universities of SCUT [2020ZYGXZR059]
This article focuses on the vibration reducing and angle tracking problems of a flexible unmanned spacecraft system subject to input nonlinearity, asymmetric output constraint, and system parameter uncertainties. A boundary control scheme is designed using the backstepping technique, with a modified asymmetric barrier Lyapunov function to ensure the output constraint is never transgressed. Neural networks are used to handle system parameter uncertainties and compensate for input nonlinearity, proving the stability of the closed-loop system based on Lyapunov analysis.
This article focuses on the vibration reducing and angle tracking problems of a flexible unmanned spacecraft system subject to input nonlinearity, asymmetric output constraint, and system parameter uncertainties. Using the backstepping technique, a boundary control scheme is designed to suppress the vibration and regulate the angle of the spacecraft. A modified asymmetric barrier Lyapunov function is utilized to ensure that the output constraint is never transgressed. Considering the system robustness, neural networks are used to handle the system parameter uncertainties and compensate for the effect of input nonlinearity. With the proposed adaptive neural network control law, the stability of the closed-loop system is proved based on the Lyapunov analysis, and numerical simulations are carried out to show the validity of the developed control scheme.
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