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Velocity obstacle–based conflict resolution and recovery method

Published online by Cambridge University Press:  09 August 2021

F. Sun ,
Y. Chen Open the ORCID record for Y. Chen [Opens in a new window] ,
X. Xu ,
Y. Mu  and
Z. Wang
F. Sun
Affiliation:
Jiangning Road Campus Nanjing University of Aeronautics and Astronautics Jiangning District Nanjing CityJiangsu ProvinceChina
Y. Chen*
Affiliation:
Jiangning Road Campus Nanjing University of Aeronautics and Astronautics Jiangning District Nanjing CityJiangsu ProvinceChina
X. Xu
Affiliation:
Jiangning Road Campus Nanjing University of Aeronautics and Astronautics Jiangning District Nanjing CityJiangsu ProvinceChina
Y. Mu
Affiliation:
Jiangning Road Campus Nanjing University of Aeronautics and Astronautics Jiangning District Nanjing CityJiangsu ProvinceChina
Z. Wang
Affiliation:
No.1 Jiazi Changle East Road Xi ’anShanxiChina
*
chengyujun7425@nuaa.edu.cn
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Abstract

Considering the shortcomings of current methods for real-time resolution of two-aircraft flight conflicts, a geometric optimal conflict resolution and recovery method based on the velocity obstacle method for two aircraft and a cooperative conflict resolution method for multiple aircraft are proposed. The conflict type was determined according to the relative position and velocity of the aircraft, and a corresponding conflict mitigation strategy was selected. A resolution manoeuvre and a recovery manoeuvre were performed. On the basis of a two-aircraft conflict resolution model, a multi-aircraft cooperative conflict resolution game was constructed to identify an optimal solution for maximising group welfare. The solution and recovery method is simple and effective, and no new flight conflicts are introduced during track recovery. For multi-aircraft conflict resolution, an equilibrium point that maximises the welfare function of the group was identified, and thus, an optimal strategy for multi-aircraft conflict resolution was obtained.

Keywords

collision detection and resolutioncooperative gamegeometrical algorithmoptimal solution of alliance welfareparticle swarm optimisation algorithmrecovery trackvelocity obstacle method
Type
Research Article
Information
The Aeronautical Journal , Volume 126 , Issue 1296 , February 2022 , pp. 345 - 364
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Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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