Entry Trajectory Optimization via hp Pseudospectral Convex Programming

Xiao Wang, Yulin Wang, Shengjing Tang, Jie Guo

2019

Abstract

In this paper, a hp pseudospectral sequential convex programming (hp-PSCP) method is proposed to solve the entry trajectory optimization problem. The hp flipped Radau pseudospectral method (FRPM) is utilized to discretize the nonlinear dynamics. By successive linearization technology and introducing new variables, the optimization problem is converted into a series of convex problems and solved by primal-dual interior-point method. Numerical results show that the proposed method provides a good compromise between computational accuracy and speed compared to existing convex methods.

Paper Citation

in Harvard Style

Wang X., Wang Y., Tang S. and Guo J. (2019). Entry Trajectory Optimization via hp Pseudospectral Convex Programming.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 61-69. DOI: 10.5220/0007909800610069

in Bibtex Style

@conference{icinco19,
author={Xiao Wang and Yulin Wang and Shengjing Tang and Jie Guo},
title={Entry Trajectory Optimization via hp Pseudospectral Convex Programming},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={61-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007909800610069},
isbn={978-989-758-380-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Entry Trajectory Optimization via hp Pseudospectral Convex Programming
SN - 978-989-758-380-3
AU - Wang X.
AU - Wang Y.
AU - Tang S.
AU - Guo J.
PY - 2019
SP - 61
EP - 69
DO - 10.5220/0007909800610069