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Authors: Xiao Wang ; Yulin Wang ; Shengjing Tang and Jie Guo

Affiliation: School of Aerospace and Engineering, Beijing Institute of Technology, Beijing and China

ISBN: 978-989-758-380-3

Keyword(s): Entry Guidance, Trajectory Optimization, Convex Programming, Pseudospectral Method.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Robotics and Automation

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.

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Paper citation in several formats:
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

@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},
}

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

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