Attitude Constrained Robust Explicit Guidance for Terminal Phase of Autonomous Lunar Soft-Landing

被引:0
|
作者
Radhakant Padhi
Avijit Banerjee
P. S. V. S. Sai Kumar
S. P. Parvathi
机构
[1] Indian Institute of Science,Department of Aerospace Engineering
[2] Indian Institute of Science,Cyber Physical Systems
关键词
Soft-landing guidance; Optimal guidance for soft-landing; Attitude constrained guidance; Minimum jerk guidance; Lunar soft-landing;
D O I
暂无
中图分类号
学科分类号
摘要
An attitude-constrained jerk-minimizing optimal explicit terminal guidance is presented in this paper for the terminal phase of a multi-phase lunar soft-landing. An analytic expression for the acceleration vector serves as the guidance command that can be computed by low-speed onboard processors in real-time. High terminal accuracy in each phase is achieved by enforcing ‘hard terminal constraints’ on the position, velocity, and acceleration (hence attitude) of the spacecraft. The initial conditions on position, velocity and acceleration are also enforced as hard constraints to ensure a smooth handover between consecutive phases. The required time-to-go is computed to minimize the deviation of the acceleration from the average of initial and final values. This results in a very smooth variation of the acceleration vector (hence attitude as well, owing to the strap-down nature of the thruster), starting from the applicable initial value to the desired final value in the segment. Along the trajectory, compatibility of the recomputed time-to-go in the absence of additional perturbation is maintained by auto-adjusting a tuning parameter. Moreover, if necessary, the time-to-go is adjusted once again to prevent altitude excursion beyond a pre-selected safety margin. This process of careful online auto-adjustment of the time-to-go, followed by using it to recompute the guidance command, makes the guidance operate in closed-loop with significant robustness. Consequently, it enables a larger capture region and introduces the capability to recover from partial failures, which are critical requirements for such challenging missions.
引用
收藏
相关论文
共 50 条
  • [1] Attitude Constrained Robust Explicit Guidance for Terminal Phase of Autonomous Lunar Soft-Landing
    Padhi, Radhakant
    Banerjee, Avijit
    Kumar, P. S. V. S. Sai
    Parvathi, S. P.
    JOURNAL OF THE ASTRONAUTICAL SCIENCES, 2024, 71 (02):
  • [2] Autonomous navigation and guidance for soft-landing asteroid
    Cui, Hu-Tao
    Cui, Ping-Yuan
    Yuhang Xuebao/Journal of Astronautics, 2002, 23 (05):
  • [3] Vision Based Autonomous Guidance Algorithm for Terminal Descent Phase of Soft Lunar Landing
    Banerjee, Avijit
    Mohan, Shyam M.
    Padhi, Radhakant
    2016 IEEE ANNUAL INDIA CONFERENCE (INDICON), 2016,
  • [4] Autonomous navigation and guidance for pinpoint lunar soft landing
    Huang, Xiangyu
    Wang, Dayi
    2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5, 2007, : 1148 - 1153
  • [5] TERMINAL GUIDANCE AND CONTROL TECHNIQUES FOR SOFT LUNAR LANDING
    KRIEGSMAN, BA
    REISS, MH
    ARS JOURNAL, 1962, 32 (03): : 401 - 413
  • [6] Waypoint Constrained Multi-Phase Optimal Guidance of Spacecraft for Soft Lunar Landing
    Sachan, Kapil
    Padhi, Radhakant
    UNMANNED SYSTEMS, 2019, 7 (02) : 83 - 104
  • [7] Path Constrained Explicit Guidance Algorithm for Lunar Pinpoint Landing Mission
    Elias, Annie Mariyam
    Navin, M. S.
    Lethakumari, R.
    2015 INTERNATIONAL CONFERENCE ON CONTROL COMMUNICATION & COMPUTING INDIA (ICCC), 2015, : 66 - 71
  • [8] TERMINAL GUIDANCE FOR SOFT AND ACCURATE LUNAR LANDING FOR UNMANNED SPACECRAFT
    FENG, TY
    WASYNCZU.CA
    JOURNAL OF SPACECRAFT AND ROCKETS, 1968, 5 (06) : 644 - &
  • [9] Quasi-Spectral Unscented MPSP Guidance for Robust Soft-Landing on Asteroid
    Mathavaraj, S.
    Padhi, Radhakant
    JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2021, 191 (2-3) : 823 - 845
  • [10] Quasi-Spectral Unscented MPSP Guidance for Robust Soft-Landing on Asteroid
    S. Mathavaraj
    Radhakant Padhi
    Journal of Optimization Theory and Applications, 2021, 191 : 823 - 845