Adaptive tracking and command shaped vibration control of flexible spacecraft

• Published in: IET control theory & applications Vol. 13; no. 8; pp. 1121 - 1128
• Main Authors: Zhu, Wanwan, Zong, Qun, Tian, Bailing
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 21.05.2019
• Subjects: adaptive control; adaptive multivariable continuous nonsingular terminal; adaptive multivariable continuous NTSM control; attitude control; command; continuous systems; control gains; control nonlinearities; control system synthesis; developed algorithm; fast input shaper; flexible spacecraft; FRIS; mode control scheme; Research Article; residual vibration; robust control; robust input shaper; space vehicles; uncertain systems; variable structure systems; vibration control; uncertain systems; developed algorithm; adaptive multivariable continuous NTSM control; adaptive control; control system synthesis; fast input shaper; space vehicles; residual vibration; command; mode control scheme; control nonlinearities; robust input shaper; FRIS; attitude control; flexible spacecraft; robust control; adaptive multivariable continuous nonsingular terminal; continuous systems; variable structure systems; vibration control; control gains
• ISSN: 1751-8644; 1751-8652
• DOI: 10.1049/iet-cta.2018.5051

An adaptive multivariable continuous non-singular terminal sliding mode (NTSM) control scheme with fast and robust input shaper (FRIS) is developed for flexible spacecraft which is subject to external disturbances. Firstly, the FRIS is proposed to suppress residual vibration of flexible spacecraft. It is shown that the FRIS decreases the duration of the impulse sequence at the meanwhile it is robust to parameter uncertainties. Then the adaptive multivariable continuous NTSM control is proposed to the attitude tracking of flexible spacecraft and the supression of residual vibration in finite time. The remarkable feature of the developed algorithm is to eliminate the overestimation of the control gains, and the tracking errors can be driven into a small region around zero in finite time even in the presence of bounded but unknown disturbances. Finally, some numerical simulations are performed to validate the efficiency of the developed algorithm.