TY - JOUR
T1 - 采用反馈路径规划的航天器近程安全交会对接
AU - Gao, Deng Wei
AU - Ma, Weihua
AU - Yuan, Jian Ping
N1 - Publisher Copyright:
©2018, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - The chase spacecraft is required to strictly comply with the constraints like keep-out zone and docking corridor during the rendezvous and docking (RVD) mission. A feedback motion planning algorithm based on linear quadratic regulator trees (LQR-Trees) is employed to design the control and trajectory. Firstly, a nonlinear programming (NLP) method is used to calculate an open-loop trajectory and control as the nominal trajectory. Local feedback control algorithm is used to design the control law to maintain the real trajectories along nominal trajectory. Secondly, Sums of squares convex optimization method is used to calculate the backward reachability set along the nominal trajectory. Finally, several sparse backward reachability sets are combined to cover a large state space and extend the region of stability. We firstly propose the six-dimensional LQR-Trees method in spacecraft safe RVD mission, redesign the control saturation and constraints. The simulation illustrates the effectiveness of safety control of spacecraft RVD mission via designing five stable regions to satisfy the docking corridor constraints.
AB - The chase spacecraft is required to strictly comply with the constraints like keep-out zone and docking corridor during the rendezvous and docking (RVD) mission. A feedback motion planning algorithm based on linear quadratic regulator trees (LQR-Trees) is employed to design the control and trajectory. Firstly, a nonlinear programming (NLP) method is used to calculate an open-loop trajectory and control as the nominal trajectory. Local feedback control algorithm is used to design the control law to maintain the real trajectories along nominal trajectory. Secondly, Sums of squares convex optimization method is used to calculate the backward reachability set along the nominal trajectory. Finally, several sparse backward reachability sets are combined to cover a large state space and extend the region of stability. We firstly propose the six-dimensional LQR-Trees method in spacecraft safe RVD mission, redesign the control saturation and constraints. The simulation illustrates the effectiveness of safety control of spacecraft RVD mission via designing five stable regions to satisfy the docking corridor constraints.
KW - Feedback motion planning
KW - Linear quadratic regulator trees (LQR-Trees)
KW - Nonlinear control
KW - Nonlinear programming
KW - Rendezvous and docking
KW - Sums of squares convex optimization
UR - http://www.scopus.com/inward/record.url?scp=85059401898&partnerID=8YFLogxK
U2 - 10.7641/CTA.2018.70834
DO - 10.7641/CTA.2018.70834
M3 - 文章
AN - SCOPUS:85059401898
SN - 1000-8152
VL - 35
SP - 1494
EP - 1502
JO - Kongzhi Lilun Yu Yingyong/Control Theory and Applications
JF - Kongzhi Lilun Yu Yingyong/Control Theory and Applications
IS - 10
ER -