Entry Trajectory Optimization via hp Pseudospectral Convex Programming

Xiao Wang; Yulin Wang; Shengjing Tang; Jie Guo

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Paper

Entry Trajectory Optimization via hp Pseudospectral Convex Programming

Topics: Engineering Applications on Intelligent Control Systems and Optimization; Guidance, Navigation and Control; Optimization Algorithms

In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, 61-69, 2019 , Prague, Czech Republic

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

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

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; ISSN 2184-2809, SciTePress, 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},
issn={2184-2809},
}

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
IS - 2184-2809
AU - Wang, X.
AU - Wang, Y.
AU - Tang, S.
AU - Guo, J.
PY - 2019
SP - 61
EP - 69
DO - 10.5220/0007909800610069
PB - SciTePress