TY - JOUR
T1 - Trajectory curvature guidance for Mars landings in hazardous terrains
AU - Cui, Pingyuan
AU - Qin, Tong
AU - Zhu, Shengying
AU - Liu, Yang
AU - Xu, Rui
AU - Yu, Zhengshi
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/7
Y1 - 2018/7
N2 - Focusing on the trajectory curvature, this paper presents an innovative and analytical guidance law for the construction of geometrically convex trajectories. Moving along such trajectories, the lander can increase the probability of a safe landing in hazardous terrains. Initially, the curvature theorems of the powered descent trajectories are developed. In these theorems, the inner relationship between trajectory curvature and lander states is revealed, and the state constraints for a geometrically convex trajectory are derived. Next, the trajectory curvature guidance is developed in an analytical formulation by satisfying the state constraints for a convex trajectory, and the selection of the key guidance parameters is investigated. Finally, the performance of the trajectory curvature guidance is analyzed in detail, illustrating its superior hazard avoidance and the camera's field of view.
AB - Focusing on the trajectory curvature, this paper presents an innovative and analytical guidance law for the construction of geometrically convex trajectories. Moving along such trajectories, the lander can increase the probability of a safe landing in hazardous terrains. Initially, the curvature theorems of the powered descent trajectories are developed. In these theorems, the inner relationship between trajectory curvature and lander states is revealed, and the state constraints for a geometrically convex trajectory are derived. Next, the trajectory curvature guidance is developed in an analytical formulation by satisfying the state constraints for a convex trajectory, and the selection of the key guidance parameters is investigated. Finally, the performance of the trajectory curvature guidance is analyzed in detail, illustrating its superior hazard avoidance and the camera's field of view.
KW - Closed-loop analytical formulation
KW - Geometrically convex trajectories
KW - Obstacle avoidance
KW - Powered descent guidance
UR - http://www.scopus.com/inward/record.url?scp=85044572483&partnerID=8YFLogxK
U2 - 10.1016/j.automatica.2018.03.049
DO - 10.1016/j.automatica.2018.03.049
M3 - Article
AN - SCOPUS:85044572483
SN - 0005-1098
VL - 93
SP - 161
EP - 171
JO - Automatica
JF - Automatica
ER -