Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Aircraft 6-DOF Modular Modeling Based on MATLAB Simulink

Authors
Huixian Wang, Dongli Ma
Corresponding Author
Huixian Wang
Available Online July 2016.
DOI
10.2991/iccia-17.2017.176How to use a DOI?
Keywords
aircraft, 6-DOF modeling, Matlab Simulink, modular principle.
Abstract

Aircraft is playing an increasing important role in aerospace field. To analysis the property of an aircraft, a model and simulation which is accurate and succinate is necessary. In this paper, 6DOF aircraft full motion equations are derived on the basis of newton's second law in the condition of plane earth hypothesis and rigid body hypothesis. Matlab Simulink was adopted to modeling simulation in which modular principle was employed. And the simulation results were reliable though the qualitative analysis.

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 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
10.2991/iccia-17.2017.176
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.176How 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  - Huixian Wang
AU  - Dongli Ma
PY  - 2016/07
DA  - 2016/07
TI  - Aircraft 6-DOF Modular Modeling Based on MATLAB Simulink
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 1002
EP  - 1005
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.176
DO  - 10.2991/iccia-17.2017.176
ID  - Wang2016/07
ER  -