Optimal Guidance for Planetary Landing in Hazardous Terrains

Chengchao Bai; Jifeng Guo; Hongxing Zheng

doi:10.1109/TAES.2019.2955785

Optimal Guidance for Planetary Landing in Hazardous Terrains

Chengchao Bai^*
, Jifeng Guo
, Hongxing Zheng

^*Corresponding author for this work

School of Astronautics, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

Abstract

In this article, a minimum-fuel powered-descent optimal guidance algorithm that incorporates obstacle avoidance is presented. The approach is based on convex optimization that includes the obstacles using nonconvex functions. To convert these nonconvex obstacle constraints to convex ones, a simple linearization procedure is employed. It is proved that the optimal solution of the convex relaxation problem is also optimal for the original nonconvex one. The sensitivity of the multiobstacle avoidance method to the relaxation factor and its effectiveness under different conditions are also investigated through simulations.

Original language	English
Article number	8911470
Pages (from-to)	2896-2909
Number of pages	14
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	56
Issue number	4
DOIs	https://doi.org/10.1109/TAES.2019.2955785
State	Published - Aug 2020
Externally published	Yes

Keywords

Convex optimization
multiobstacle avoidance
optimal guidance
planetary landing

Access to Document

10.1109/TAES.2019.2955785

Cite this

@article{1d048d306a584d8aa090bf4ad53c4945,

title = "Optimal Guidance for Planetary Landing in Hazardous Terrains",

abstract = "In this article, a minimum-fuel powered-descent optimal guidance algorithm that incorporates obstacle avoidance is presented. The approach is based on convex optimization that includes the obstacles using nonconvex functions. To convert these nonconvex obstacle constraints to convex ones, a simple linearization procedure is employed. It is proved that the optimal solution of the convex relaxation problem is also optimal for the original nonconvex one. The sensitivity of the multiobstacle avoidance method to the relaxation factor and its effectiveness under different conditions are also investigated through simulations.",

keywords = "Convex optimization, multiobstacle avoidance, optimal guidance, planetary landing",

author = "Chengchao Bai and Jifeng Guo and Hongxing Zheng",

note = "Publisher Copyright: {\textcopyright} 1965-2011 IEEE.",

year = "2020",

month = aug,

doi = "10.1109/TAES.2019.2955785",

language = "英语",

volume = "56",

pages = "2896--2909",

journal = "IEEE Transactions on Aerospace and Electronic Systems",

issn = "0018-9251",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - Optimal Guidance for Planetary Landing in Hazardous Terrains

AU - Bai, Chengchao

AU - Guo, Jifeng

AU - Zheng, Hongxing

PY - 2020/8

Y1 - 2020/8

N2 - In this article, a minimum-fuel powered-descent optimal guidance algorithm that incorporates obstacle avoidance is presented. The approach is based on convex optimization that includes the obstacles using nonconvex functions. To convert these nonconvex obstacle constraints to convex ones, a simple linearization procedure is employed. It is proved that the optimal solution of the convex relaxation problem is also optimal for the original nonconvex one. The sensitivity of the multiobstacle avoidance method to the relaxation factor and its effectiveness under different conditions are also investigated through simulations.

AB - In this article, a minimum-fuel powered-descent optimal guidance algorithm that incorporates obstacle avoidance is presented. The approach is based on convex optimization that includes the obstacles using nonconvex functions. To convert these nonconvex obstacle constraints to convex ones, a simple linearization procedure is employed. It is proved that the optimal solution of the convex relaxation problem is also optimal for the original nonconvex one. The sensitivity of the multiobstacle avoidance method to the relaxation factor and its effectiveness under different conditions are also investigated through simulations.

KW - Convex optimization

KW - multiobstacle avoidance

KW - optimal guidance

KW - planetary landing

UR - https://www.scopus.com/pages/publications/85089658590

U2 - 10.1109/TAES.2019.2955785

DO - 10.1109/TAES.2019.2955785

M3 - 文章

AN - SCOPUS:85089658590

SN - 0018-9251

VL - 56

SP - 2896

EP - 2909

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 4

M1 - 8911470

ER -

Optimal Guidance for Planetary Landing in Hazardous Terrains

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this