Trajectory Optimization of Unmanned Aerial Vehicle's Ascending Phase based on h-p Adaptive Pseudospectral Method

DOI

10.2991/iccia-19.2019.82How to use a DOI?

Keywords

Trajectory optimization; Adaptive pseudospectral method; Unmanned aerial vehicles; Minimum fuel consumption; Initial trajectory angle guess.

Abstract

The pseudospectral method is one of the most effective methods to optimize the trajectory of UAV, however, the initial guess of the initial state is mainly based on the engineer's engineering experience, lacking of actual data support. Based on h-p adaptive pseudospectral method, this paper takes fuel economy as optimization index, then proposes four initial guessing strategies to focus on the influence of initial track angle guessing on simulation results quantitatively. The simulation results show that the selection of the initial track angle guess has a great influence on the optimization results. For the model used in the example, when the initial track angle is 20, the attitude and optimization index of UAV are better. The content of this paper has certain reference significance for practical engineering applications.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shuwei Sun
AU  - Genxi Fan
AU  - Yonghua Fan
PY  - 2019/07
DA  - 2019/07
TI  - Trajectory Optimization of Unmanned Aerial Vehicle's Ascending Phase based on h-p Adaptive Pseudospectral Method
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 523
EP  - 533
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.82
DO  - 10.2991/iccia-19.2019.82
ID  - Sun2019/07
ER  -