Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm

With the continuous development of UAV technology, the trend of using UAV in the military battlefield is increasingly obvious, but the autonomous air combat capability of UAV needs to be further improved. The air combat maneuvering decision is the key link to realize the UAV autonomous air combat, a...

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Format: Article
Language:zho
Published: The Northwestern Polytechnical University 2020-12-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
uav
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1330/jnwpu2020386p1330.html
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spelling doaj-d6fa4a23d15946ff867e61dca0d325842021-05-03T01:24:27ZzhoThe Northwestern Polytechnical UniversityXibei Gongye Daxue Xuebao1000-27582609-71252020-12-013861330133810.1051/jnwpu/20203861330jnwpu2020386p1330Air Combat Maneuver Decision Based on Reinforcement Genetic AlgorithmWith the continuous development of UAV technology, the trend of using UAV in the military battlefield is increasingly obvious, but the autonomous air combat capability of UAV needs to be further improved. The air combat maneuvering decision is the key link to realize the UAV autonomous air combat, and the genetic algorithm has good robustness and global searching ability which is suitable for solving large-scale optimization problems. This paper uses an improved genetic algorithm to model UAV air combat maneuvering decisions. Based on engineering application requirements, a typical simulation test scenario is established. The simulation results show that the air combat maneuvering decision model based on reinforcement genetic algorithm in this paper can obtain the correct maneuvering decision sequence and gain a position advantage in combat.https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1330/jnwpu2020386p1330.htmlair combat maneuvering decisiongenetic algorithmreinforcement learningcontrol and decisionuavmodelsimulation test scenario
collection DOAJ
language zho
format Article
sources DOAJ
title Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm
spellingShingle Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm
Xibei Gongye Daxue Xuebao
air combat maneuvering decision
genetic algorithm
reinforcement learning
control and decision
uav
model
simulation test scenario
title_short Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm
title_full Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm
title_fullStr Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm
title_full_unstemmed Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm
title_sort air combat maneuver decision based on reinforcement genetic algorithm
publisher The Northwestern Polytechnical University
series Xibei Gongye Daxue Xuebao
issn 1000-2758
2609-7125
publishDate 2020-12-01
description With the continuous development of UAV technology, the trend of using UAV in the military battlefield is increasingly obvious, but the autonomous air combat capability of UAV needs to be further improved. The air combat maneuvering decision is the key link to realize the UAV autonomous air combat, and the genetic algorithm has good robustness and global searching ability which is suitable for solving large-scale optimization problems. This paper uses an improved genetic algorithm to model UAV air combat maneuvering decisions. Based on engineering application requirements, a typical simulation test scenario is established. The simulation results show that the air combat maneuvering decision model based on reinforcement genetic algorithm in this paper can obtain the correct maneuvering decision sequence and gain a position advantage in combat.
topic air combat maneuvering decision
genetic algorithm
reinforcement learning
control and decision
uav
model
simulation test scenario
url https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1330/jnwpu2020386p1330.html
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