The Optimization of Flush Atmospheric Data System Sensors Placement
- https://doi.org/10.2991/icmmita-16.2016.174How to use a DOI?
- flush atmospheric data system; optimization of sensor placement; genetic algorithm.
This paper is pointed at the optimization of flush atmospheric data system sensors placement, and developed the optimization methodology based on the non-dominated sorting genetic algorithm II (NSGA-II). First, the physical model of sensor system is analysed, then, designs the objective function and finds the best representation of the Pareto frontier, which makes you get the best sensor locations. Furthermore, simulations for different numbers of pressure points using these design methodology is performed based on CFD, the result showed that error of attack angle and dynamic pressure is less than 0.2%, which identifies the availability of the methodology.
- © 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/).
Cite this article
TY - CONF AU - Zhenxin Huang AU - Zhenyu Jiang AU - Leyuan Sun PY - 2017/01 DA - 2017/01 TI - The Optimization of Flush Atmospheric Data System Sensors Placement BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 942 EP - 948 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.174 DO - https://doi.org/10.2991/icmmita-16.2016.174 ID - Huang2017/01 ER -