Aircraft Trajectory Uncertainties Optimization Based On Interval Analysis Method

DOI

10.2991/iccia-17.2017.68How to use a DOI?

Keywords

trajectory optimization, interval analysis, Bellman method, uncertainty, interval quantification.

Abstract

Aircraft trajectory planning under wind effect is a critical issue to save fuel consumption and to reduce flight time. However, wind as a kind of natural phenomenon has great uncertainties, which increases the difficulty of trajectory optimization. This paper proposes a aircraft trajectory optimization method which is base on interval analysis method under wind uncertainties. This method uses weather forecast information, based on Gray mathematical theory interval quantification to determinate the interval of the wind speed on every wind grid points. By combining interval analysis method and Bellman method, the minimal flight time consumption trajectory interval is found. Finally, this method is successfully applied on North Atlantic Ocean. Compared with tradition probability method, this method dramatically reduces the optimization time and improves the computational efficiency.

Copyright

© 2017, 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  - Yao Zhu
AU  - Zhiping Qiu
AU  - Xianjia Chen
AU  - Xinrong Liu
PY  - 2016/07
DA  - 2016/07
TI  - Aircraft Trajectory Uncertainties Optimization Based On Interval Analysis Method
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 407
EP  - 414
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.68
DO  - 10.2991/iccia-17.2017.68
ID  - Zhu2016/07
ER  -