Multi-constrained feedback guidance for mars pinpoint soft landing using time-varying sliding mode

被引:4
作者
Gong, Youmin [1 ]
Guo, Yanning [1 ,4 ]
Lyu, Yueyong [1 ]
Ma, Guangfu [1 ]
Guo, Minwen [2 ,3 ]
机构
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China
[2] Beijing Inst Control Engn, Beijing 100190, Peoples R China
[3] China Natl Key Lab Sci & Technol Space Intelligent, Beijing 100190, Peoples R China
[4] West Dazhi St, 92, Box 327, Room 606, Harbin, Heilongjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Mars pinpoint soft landing; Time -varying feedback guidance; Incremental guidance; Thruster performance constraint; Glide -slope constraint; POWERED-DESCENT GUIDANCE; THRUST; PHASE;
D O I
10.1016/j.asr.2022.07.020
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Taking into account the thruster performance (total thrust magnitude constraint and control acceleration deviation) and glide-slope constraint, this paper presents two types of new feedback guidance strategies for Mars pinpoint soft landing, which are near-fuel-optimal and robust to disturbance. A novel and simple time-varying feedback guidance law is proposed at first. Next, this guidance law is extended to the incremental guidance to improve the robustness and ability to deal with the thruster performance and disturbance. An advantage of these two guidance schemes is that they can avoid subsurface flight owing to the monotonic convergence of position and velocity. Moreover, an exciting feature of these two guidance laws is that the trajectory of the vehicle can be set as a straight line by choosing the guidance laws parameters. Finally, an optimal problem is constructed and solved based on this feature to obtain the guid-ance laws parameters to satisfy the glide-slope constraint. Its robustness, fuel efficiency, and performance in dealing with acceleration deviation and thruster constraint are demonstrated for different simulation scenarios, especially in comparison with zero-effort-miss/z ero-effort-velocity feedback guidance law.(c) 2022 COSPAR. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:2240 / 2253
页数:14
相关论文
共 46 条
[1]   Convex programming approach to powered descent guidance for Mars landing [J].
Acikmese, Behcet ;
Ploen, Scott R. .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2007, 30 (05) :1353-1366
[2]   Minimum-Landing-Error Powered-Descent Guidance for Mars Landing Using Convex Optimization [J].
Blackmore, Lars ;
Acikmese, Behcet ;
Scharf, Daniel P. .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2010, 33 (04) :1161-1171
[3]   Trajectory curvature guidance for Mars landings in hazardous terrains [J].
Cui, Pingyuan ;
Qin, Tong ;
Zhu, Shengying ;
Liu, Yang ;
Xu, Rui ;
Yu, Zhengshi .
AUTOMATICA, 2018, 93 :161-171
[4]   Relaxed-Constraint Pinpoint Lunar Landing Using Geometric Mechanics and Model Predictive Control [J].
Dang, Qingqing ;
Gui, Haichao ;
Liu, Kun ;
Zhu, Bo .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2020, 43 (09) :1617-1630
[5]   Optimal sliding-mode guidance with terminal velocity constraint for fixed-interval propulsive maneuvers [J].
Ebrahimi, Behrouz ;
Bahrami, Mohsen ;
Roshanian, War .
ACTA ASTRONAUTICA, 2008, 62 (10-11) :556-562
[6]   Optimal Thrust Profile for Planetary Soft Landing Under Stochastic Disturbances [J].
Exarchos, Ioannis ;
Theodorou, Evangelos A. ;
Tsiotras, Panagiotis .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2019, 42 (01) :209-216
[7]   Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach [J].
Furfaro, Roberto ;
Scorsoglio, Andrea ;
Linares, Richard ;
Massari, Mauro .
ACTA ASTRONAUTICA, 2020, 171 :156-171
[8]   Prescribed Performance-Based Powered Descent Guidance for Step-Shaped Hazardous Terrains [J].
Gong, Youmin ;
Guo, Yanning ;
Ma, Guangfu ;
Zhang, Yao ;
Guo, Minwen .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2022, 58 (02) :1083-1095
[9]  
Gong YM, 2022, IEEE-ASME T MECH, V27, P2764, DOI 10.1109/TMECH.2021.3121434
[10]   Mars entry guidance for mid-lift-to-drag ratio vehicle with control constraints [J].
Gong, Youmin ;
Guo, Yanning ;
Ma, Guangfu ;
Guo, Minwen .
AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 107 (107)