TY - GEN
T1 - Satellite Model Refinement for Approaching Disabled Satellites Using Modified Least Square Method
AU - Li, Peiyun
AU - Dong, Yunfeng
AU - Liew, Yingjia
N1 - Publisher Copyright:
© 2022 The authors and IOS Press.
PY - 2022/12/6
Y1 - 2022/12/6
N2 - The removal of disabled satellites requires the chaser satellite to perform approach tasks. The uncertainties of chaser inertial parameters and thruster output force affect the control accuracy, which may lead to a collision. In this paper, a modified least square method is proposed to refine the model of the chaser satellite, and then the identified parameters are then applied to the controller to reduce control error. Firstly, an optimal trajectory is planned and then performed in space, after which the state sequences are transmitted to the ground. Next, in order to refine the satellite model, a modified least square method is carried out to identify the modification ratio of thrusters, in which two extra limits are introduced to enhance convergence. One is the maximum fix value per step, the other is the total fix upper limit. Finally, the chaser controller is integrated with the modification value. Simulation results indicate that the proposed method enhances the process of convergence and significantly reduces the remaining error.
AB - The removal of disabled satellites requires the chaser satellite to perform approach tasks. The uncertainties of chaser inertial parameters and thruster output force affect the control accuracy, which may lead to a collision. In this paper, a modified least square method is proposed to refine the model of the chaser satellite, and then the identified parameters are then applied to the controller to reduce control error. Firstly, an optimal trajectory is planned and then performed in space, after which the state sequences are transmitted to the ground. Next, in order to refine the satellite model, a modified least square method is carried out to identify the modification ratio of thrusters, in which two extra limits are introduced to enhance convergence. One is the maximum fix value per step, the other is the total fix upper limit. Finally, the chaser controller is integrated with the modification value. Simulation results indicate that the proposed method enhances the process of convergence and significantly reduces the remaining error.
KW - Modified least square method
KW - Parameter Identification
KW - Removal of disabled satellites
KW - Satellite model refinement
UR - https://www.scopus.com/pages/publications/85145646099
U2 - 10.3233/ATDE221028
DO - 10.3233/ATDE221028
M3 - 会议稿件
AN - SCOPUS:85145646099
T3 - Advances in Transdisciplinary Engineering
SP - 135
EP - 144
BT - Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014
A2 - Chen, Chi-Hua
A2 - Scapellato, Andrea
A2 - Barbiero, Alessandro
A2 - Korzun, Dmitry G.
PB - IOS Press BV
T2 - 2nd International Conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2022
Y2 - 13 August 2022 through 14 August 2022
ER -