The Optimization of Flush Atmospheric Data System Sensors Placement

DOI

10.2991/icmmita-16.2016.174How to use a DOI?

Keywords

flush atmospheric data system; optimization of sensor placement; genetic algorithm.

Abstract

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.

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  - 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  - 10.2991/icmmita-16.2016.174
ID  - Huang2017/01
ER  -