@inproceedings{d448b14add454e5db4652fa358c6bb11,
title = "Entry trajectory optimization via hp pseudospectral convex programming",
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.",
keywords = "Convex programming, Entry guidance, Pseudospectral method, Trajectory optimization",
author = "Xiao Wanga and Yulin Wang and Shengjing Tang and Jie Guo",
note = "Publisher Copyright: Copyright {\textcopyright} 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019 ; Conference date: 29-07-2019 Through 31-07-2019",
year = "2019",
doi = "10.5220/0007909800610069",
language = "English",
series = "ICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics",
publisher = "SciTePress",
pages = "61--69",
editor = "Oleg Gusikhin and Kurosh Madani and Janan Zaytoon",
booktitle = "ICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics",
}