TY - JOUR
T1 - Adaptive dynamic event-triggered deployment control for space triangle tethered formation system with external disturbance
AU - Huang, Bingxiao
AU - Zhang, Fan
AU - Song, Mengshi
AU - Huang, Panfeng
N1 - Publisher Copyright:
© 2022 IAA
PY - 2022/11
Y1 - 2022/11
N2 - Space tethered system has been widely investigated because of its extensive applications in space observation, debris removal, and space solar power station, etc. Yet, due to the system coupling nonlinearities, unknown disturbances, and on-board limited communication constraints, the deployment control of the spacecraft system is still challenging. In this paper, an adaptive integral sliding mode controller is designed by using neural network estimator, barrier function and event-triggered mechanism, which ensures that the system deploys to the specified configuration in finite time. Giving that the lumped disturbances are bounded by an unknown boundary, the gain of the switching term is tuned by the barrier function such that the gain-overestimation problem can be avoided. Then, the dynamic event-triggered mechanism updates the control signal non-periodically between the controller and the actuator, thus communication resources can be saved. Moreover, the stability of the closed system with and without event-triggered mechanism is analyzed. Finally, simulation tests are carried out to exhibit the effectiveness of the proposed control scheme.
AB - Space tethered system has been widely investigated because of its extensive applications in space observation, debris removal, and space solar power station, etc. Yet, due to the system coupling nonlinearities, unknown disturbances, and on-board limited communication constraints, the deployment control of the spacecraft system is still challenging. In this paper, an adaptive integral sliding mode controller is designed by using neural network estimator, barrier function and event-triggered mechanism, which ensures that the system deploys to the specified configuration in finite time. Giving that the lumped disturbances are bounded by an unknown boundary, the gain of the switching term is tuned by the barrier function such that the gain-overestimation problem can be avoided. Then, the dynamic event-triggered mechanism updates the control signal non-periodically between the controller and the actuator, thus communication resources can be saved. Moreover, the stability of the closed system with and without event-triggered mechanism is analyzed. Finally, simulation tests are carried out to exhibit the effectiveness of the proposed control scheme.
KW - Barrier function
KW - Dynamic event-triggered control
KW - Integral sliding mode control
KW - Neural network
KW - Space tethered system
UR - http://www.scopus.com/inward/record.url?scp=85135924294&partnerID=8YFLogxK
U2 - 10.1016/j.actaastro.2022.07.035
DO - 10.1016/j.actaastro.2022.07.035
M3 - 文章
AN - SCOPUS:85135924294
SN - 0094-5765
VL - 200
SP - 1
EP - 10
JO - Acta Astronautica
JF - Acta Astronautica
ER -