TY - GEN
T1 - Optimal Attitude Takeover Control of Failed Spacecraft with Model Uncertainties
AU - Li, Qinwen
AU - Meng, Zhongjie
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In on-orbit service, attitude takeover control of failed spacecraft is a prerequisite of numerous tasks, such as on-orbit maintenance and on-orbit life extension. In takeover control missions, fuel consumption is a core key metric. Accordingly, attitude takeover control of spacecraft with model uncertainties with the minimum fuel consumption is studied in this paper. Concentrated on the optimal fuel consumption takeover control of failed spacecraft by nanosatellites, a control method based on fuzzy theory and inverse optimal control principle is proposed. Firstly, an auxiliary nonlinear system is constructed. Then on the basis of this auxiliary system, fuzzy logic systems (FLSs) are utilized to estimate the unknown nonlinear dynamics. Finally, combined with the inverse optimal principle and adaptive backstepping design theory, an optimal control law is designed. Numerical simulations are carried out to demonstrate the feasibility and effectiveness of the proposed control method.
AB - In on-orbit service, attitude takeover control of failed spacecraft is a prerequisite of numerous tasks, such as on-orbit maintenance and on-orbit life extension. In takeover control missions, fuel consumption is a core key metric. Accordingly, attitude takeover control of spacecraft with model uncertainties with the minimum fuel consumption is studied in this paper. Concentrated on the optimal fuel consumption takeover control of failed spacecraft by nanosatellites, a control method based on fuzzy theory and inverse optimal control principle is proposed. Firstly, an auxiliary nonlinear system is constructed. Then on the basis of this auxiliary system, fuzzy logic systems (FLSs) are utilized to estimate the unknown nonlinear dynamics. Finally, combined with the inverse optimal principle and adaptive backstepping design theory, an optimal control law is designed. Numerical simulations are carried out to demonstrate the feasibility and effectiveness of the proposed control method.
KW - attitude takeover control
KW - failed spacecraft
KW - fuzzy adaptive control
KW - inverse optimal control
KW - model uncertainties
UR - http://www.scopus.com/inward/record.url?scp=85146840130&partnerID=8YFLogxK
U2 - 10.1109/ICIEA54703.2022.10006034
DO - 10.1109/ICIEA54703.2022.10006034
M3 - 会议稿件
AN - SCOPUS:85146840130
T3 - ICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications
SP - 213
EP - 218
BT - ICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications
A2 - Xie, Wenxiang
A2 - Gao, Shibin
A2 - He, Xiaoqiong
A2 - Zhu, Xing
A2 - Huang, Jingjing
A2 - Chen, Weirong
A2 - Ma, Lei
A2 - Shu, Haiyan
A2 - Cao, Wenping
A2 - Jiang, Lijun
A2 - Shu, Zeliang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022
Y2 - 16 December 2022 through 19 December 2022
ER -