Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Research on Long-Distance Air Combat Attach Placeholder Based on SOS Algorithm

Authors
Zhihong Wang, Xianzhi Wei, Jianrui Xu, Baofeng Wang
Corresponding Author
Zhihong Wang
Available Online May 2017.
DOI
10.2991/icmeit-17.2017.92How to use a DOI?
Keywords
long-distance air combat; tactics decision; SOS algorithm; placeholder.
Abstract

Based on long-distance air combat tactics decision and against the long-distance autonomous attach placeholder problem of UCAV, the paper proposes a tactics maneuvering decision method. It constructs a threat evasion objection function and rapid target approach attack objective function, selects corresponding objective function based on tactics decision result and adopts modified SOS algorithm to optimize the maneuvering decision control variable.

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 Mechatronics Engineering and Information Technology (ICMEIT 2017)
Series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
10.2991/icmeit-17.2017.92How 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  - Zhihong Wang
AU  - Xianzhi Wei
AU  - Jianrui Xu
AU  - Baofeng Wang
PY  - 2017/05
DA  - 2017/05
TI  - Research on Long-Distance Air Combat Attach Placeholder Based on SOS Algorithm
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 483
EP  - 491
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.92
DO  - 10.2991/icmeit-17.2017.92
ID  - Wang2017/05
ER  -