Aircraft Trajectory Uncertainties Optimization Based On Interval Analysis Method
Yao Zhu, Zhiping Qiu, Xianjia Chen, Xinrong Liu
Available Online July 2016.
- https://doi.org/10.2991/iccia-17.2017.68How to use a DOI?
- trajectory optimization, interval analysis, Bellman method, uncertainty, interval quantification.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/iccia-17.2017.68 DO - https://doi.org/10.2991/iccia-17.2017.68 ID - Zhu2016/07 ER -