@inproceedings{aebcfda74d40412788a2e7cfcf4bc07c,
title = "Three-Dimensional Trajectory Optimization for soft lunar landing considering landing constraints*",
abstract = "It is the goal for future lunar missions to seek and design an optimal soft-landing trajectory of the lunar probe from the lunar satellite orbit to the lunar surface. This study aims at the optimization of three-dimensional trajectory method able to achieve soft precision landing at the desired site with a minimum fuel. The trajectory optimization model is constrained by the use of two types of sets: the positions and velocities of the lander. The Pontryagain maximum principle (PMP) is used to transform the nonlinear optimal control into a two-point boundary value problem(TPBVP) in which the backward integration method is applied to compute the initial value of conjugate variables. The trajectory generation can be formulated as a time-invariant set of equations by a monotonically increasing state variable because the thrust control angles are obtained by conjugate equations. The robustness and optimality for three-dimensional trajectory is shown in a numerical simulation. The results of the new optimization method satisfy the fuel consumption condition with permissible tolerances.",
keywords = "Soft lunar landing, Trajectory optimization, Two-point Boundary Value Problem",
author = "Yandi Qiao and Zexu Zhang and Feng Chen and Xingyan Wang and Jing Wang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 16th IEEE International Conference on Control and Automation, ICCA 2020 ; Conference date: 09-10-2020 Through 11-10-2020",
year = "2020",
month = oct,
day = "9",
doi = "10.1109/ICCA51439.2020.9264583",
language = "英语",
series = "IEEE International Conference on Control and Automation, ICCA",
publisher = "IEEE Computer Society",
pages = "1199--1204",
booktitle = "2020 IEEE 16th International Conference on Control and Automation, ICCA 2020",
address = "美国",
}