Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

The Optimization of Flush Atmospheric Data System Sensors Placement

Authors
Zhenxin Huang, Zhenyu Jiang, Leyuan Sun
Corresponding Author
Zhenxin Huang
Available Online January 2017.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
10.2991/icmmita-16.2016.174
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.174How to use a DOI?
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/).

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  -