Adaptive Neural Network Control of a Flexible Spacecraft Subject to Input Nonlinearity and Asymmetric Output Constraint

• Published in: IEEE Transactions on Neural Networks and Learning Systems Vol. 33; no. 11; pp. 6226 - 6234
• Main Authors: Liu, Yu, Chen, Xiongbin, Wu, Yilin, Cai, He, Yokoi, Hiroshi
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2022; Institute of Electrical and Electronics Engineers (IEEE); The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Adaptive neural network control; Adaptive systems; asymmetric constraint; Asymmetry; Backstepping; backstepping technique; Boundary control; Control theory; Feedback control; Flexible spacecraft; flexible unmanned spacecraft; Liapunov functions; Lyapunov methods; Network control; Neural networks; Nonlinear systems; Nonlinearity; Parameter uncertainty; Robustness (mathematics); Space vehicles; Spacecraft; Stability analysis; Uncertainty; Unmanned spacecraft; Vibration; vibration control; Vibrations

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...