Safe Positively Invariant Sets for Spacecraft Obstacle Avoidance

被引:50
|
作者
Weiss, Avishai [1 ]
Petersen, Christopher [1 ]
Baldwin, Morgan [2 ,3 ]
Erwin, R. Scott [2 ]
Kolmanovsky, Ilya [1 ]
机构
[1] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA
[2] US Air Force, Res Lab, Kirtland AFB, NM 87117 USA
[3] AIAA, Reston, VA USA
关键词
CONSTRAINED LINEAR-SYSTEMS; PREDICTIVE CONTROL;
D O I
10.2514/1.G000115
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper presents an obstacle avoidance method for spacecraft relative motion control. In this approach, a connectivity graph is constructed for a set of relative frame points, which form a virtual net centered around a nominal orbital position. The connectivity between points in the virtual net is determined based on the use of safe positively invariant sets for guaranteed collision free maneuvering. A graph search algorithm is then applied to find a maneuver that avoids specified obstacles and adheres to specified thrust limits. As compared to conventional open-loop trajectory optimization, this approach enables the handling of bounded disturbances, which can represent the effects of perturbing forces and model uncertainty, while rigorously guaranteeing that nonconvex and possibly time-varying obstacle avoidance constraints are satisfied. Details for handling a single stationary obstacle, multiple stationary obstacles, moving obstacles, and bounded disturbances are reported and illustrated with simulation case studies.
引用
收藏
页码:720 / 732
页数:13
相关论文
共 50 条
  • [31] A collaborative-shared control system with safe obstacle avoidance capability
    Shen, J
    Ibañez-Guzmán, J
    Ng, TC
    Chew, BS
    2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2, 2004, : 119 - 123
  • [32] Stereo-vision based obstacle avoidance by finding safe region
    Xiaojie Zhao
    Gang Wang
    Maozhi Cai
    Hongkun Zhou
    International Journal of Control, Automation and Systems, 2017, 15 : 1374 - 1383
  • [33] Stereo-vision based Obstacle Avoidance by Finding Safe Region
    Zhao, Xiaojie
    Wang, Gang
    Cai, Maozhi
    Zhou, Hongkun
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (03) : 1374 - 1383
  • [34] Online trajectory optimization for safe autonomous overtaking with active obstacle avoidance
    Li, Guoqiang
    Guo, Hongliang
    Wang, Zhenpo
    Wang, Meng
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2023, 169
  • [35] Safe Autonomous Agent Formation Operations Via Obstacle Collision Avoidance
    Deghat, Mohammad
    Shames, Iman
    Anderson, Brian D. O.
    ASIAN JOURNAL OF CONTROL, 2015, 17 (05) : 1473 - 1483
  • [36] A dense obstacle avoidance algorithm for UAVs based on safe flight corridor
    Fan L.
    Zhang H.
    Xu Z.
    Lyu M.
    Hu J.
    Zhao C.
    Liu X.
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2022, 40 (06): : 1288 - 1296
  • [37] ONE METHOD OF CONSTRUCTING POSITIVELY INVARIANT-SETS FOR A LORENZ SYSTEM
    LEONOV, GA
    PMM JOURNAL OF APPLIED MATHEMATICS AND MECHANICS, 1985, 49 (05): : 660 - 663
  • [38] Simple LP-type criteria for positively invariant polyhedral sets
    Yoshida, K
    Kawabe, H
    Nishimura, Y
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2000, 45 (01) : 98 - 101
  • [39] POSITIVELY INVARIANT CLOSED SETS FOR SYSTEMS OF DELAY DIFFERENTIAL-EQUATIONS
    SEIFERT, G
    JOURNAL OF DIFFERENTIAL EQUATIONS, 1976, 22 (02) : 292 - 304
  • [40] POSITIVELY INVARIANT-SETS FOR SINGULAR DISCRETE-TIME-SYSTEMS
    TARBOURIECH, S
    CASTELAN, EB
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1993, 24 (09) : 1687 - 1705