TY - JOUR
T1 - Eddy current de-tumbling large geostationary debris based on feedback linearization model predictive control
AU - Liu, Xiyao
AU - Chang, Haitao
AU - Huang, Panfeng
N1 - Publisher Copyright:
© 2021 Elsevier Masson SAS
PY - 2021/5
Y1 - 2021/5
N2 - In this paper, we investigate the application of Feedback Linearization Model Predictive Control (FLMPC) for the eddy current de-tumbling of space tumbling targets. Based on the Clohessy-Wiltshire (C-W) equation and the Euler rotational equations of motion, the dynamic model of the eddy current de-tumbling process is established, and the error dynamic model is further derived. After that, the safety constraint of the eddy current de-tumbling process is deduced and linearized. On this basis, real-time optimal trajectory is obtained with the optimal equilibrium solver, and FLMPC is proposed to control the system. In order to ensure the simplicity and rapidity of the controller, the feedback linearization input constraint is directly used as the global prediction constraint and the MPC constraint problem is converted into the form of Quadratic Programming (QP) which can be effectively solved. Simulation results show that the proposed algorithm can realize quick and safe de-tumbling of the target with the various constraints ensured and a very small range of steady-state errors.
AB - In this paper, we investigate the application of Feedback Linearization Model Predictive Control (FLMPC) for the eddy current de-tumbling of space tumbling targets. Based on the Clohessy-Wiltshire (C-W) equation and the Euler rotational equations of motion, the dynamic model of the eddy current de-tumbling process is established, and the error dynamic model is further derived. After that, the safety constraint of the eddy current de-tumbling process is deduced and linearized. On this basis, real-time optimal trajectory is obtained with the optimal equilibrium solver, and FLMPC is proposed to control the system. In order to ensure the simplicity and rapidity of the controller, the feedback linearization input constraint is directly used as the global prediction constraint and the MPC constraint problem is converted into the form of Quadratic Programming (QP) which can be effectively solved. Simulation results show that the proposed algorithm can realize quick and safe de-tumbling of the target with the various constraints ensured and a very small range of steady-state errors.
KW - Eddy current de-tumbling
KW - Feedback linearization
KW - Model predictive control
KW - Safety constraint
KW - Tumbling target
UR - http://www.scopus.com/inward/record.url?scp=85102860978&partnerID=8YFLogxK
U2 - 10.1016/j.ast.2021.106641
DO - 10.1016/j.ast.2021.106641
M3 - 文章
AN - SCOPUS:85102860978
SN - 1270-9638
VL - 112
JO - Aerospace Science and Technology
JF - Aerospace Science and Technology
M1 - 106641
ER -