Overview of Trajectory Optimization Techniques

Runqi Chai*, Al Savvaris, Antonios Tsourdos, Senchun Chai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Citations (Scopus)

Abstract

This chapter aims to broadly review the state-of-the-art development in spacecraft trajectory optimization problems and optimal control methods. Specifically, the main focus will be on the recently proposed optimization methods that have been utilized in constrained trajectory optimization problems and multi-objective trajectory optimization problems. An overview regarding the development of optimal control methods is first introduced. Following that, various optimization methods that can be effective for solving spacecraft trajectory planning problems are reviewed, including the gradient-based methods, the convexification-based methods, the evolutionary/metaheuristic methods, and the dynamic programming-based methods. In addition, a special focus will be given on the recent applications of the optimized trajectory. Finally, the multi-objective spacecraft trajectory optimization problem, together with different classes of multi-objective optimization algorithms, is briefly outlined at the end of the chapter.

Original languageEnglish
Title of host publicationSpringer Aerospace Technology
PublisherSpringer Nature
Pages7-25
Number of pages19
DOIs
Publication statusPublished - 2020

Publication series

NameSpringer Aerospace Technology
ISSN (Print)1869-1730
ISSN (Electronic)1869-1749

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