TY - GEN
T1 - Composite Anti-disturbance Predictive Control of Rigid Spacecraft with Time-Delay Using Multi-dimensional Taylor Network
AU - Li, Chenlong
AU - Yu, Xiang
AU - Wang, Enmei
AU - Zhang, Zejun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - A composite anti-disturbance predictive control approach utilizing multi-dimensional Taylor network (MTN) is presented for a rigid spacecraft, aiming to mitigate the effects of multi-source disturbances and time-delay. First, construct the model of the rigid spacecraft based on mechanism model. Second, MTN model is used as the disturbance observer to represent the influence of the external disturbance. Third, it is necessary to devise the MTN predictive control law and formulate a recursive τ-step-ahead MTN predictive model. Furthermore, the backpropagation (BP) algorithm, incorporating a momentum factor, will be employed as the learning mechanism for the MTNs. Finally, within the framework of composite hierarchical anti-disturbance control, the attitude control is executed, grounded on the principles of “feedforward compensation” and “feedback suppression”. Simulation experiment of the rigid spacecraft is introduced.
AB - A composite anti-disturbance predictive control approach utilizing multi-dimensional Taylor network (MTN) is presented for a rigid spacecraft, aiming to mitigate the effects of multi-source disturbances and time-delay. First, construct the model of the rigid spacecraft based on mechanism model. Second, MTN model is used as the disturbance observer to represent the influence of the external disturbance. Third, it is necessary to devise the MTN predictive control law and formulate a recursive τ-step-ahead MTN predictive model. Furthermore, the backpropagation (BP) algorithm, incorporating a momentum factor, will be employed as the learning mechanism for the MTNs. Finally, within the framework of composite hierarchical anti-disturbance control, the attitude control is executed, grounded on the principles of “feedforward compensation” and “feedback suppression”. Simulation experiment of the rigid spacecraft is introduced.
KW - Composite anti-disturbance
KW - Multi-source disturbances
KW - Multidimensional Taylor network
KW - Predictive control
KW - Rigid spacecraft
KW - Time-delay
UR - https://www.scopus.com/pages/publications/105000981417
U2 - 10.1007/978-981-96-2216-0_28
DO - 10.1007/978-981-96-2216-0_28
M3 - 会议稿件
AN - SCOPUS:105000981417
SN - 9789819622153
T3 - Lecture Notes in Electrical Engineering
SP - 291
EP - 299
BT - Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 5
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Deng, Yimin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2024
Y2 - 9 August 2024 through 11 August 2024
ER -