Air combat maneuver decision-making based on improved symbiotic organisms search algorithm

被引：0
|
作者：
Gao Y. [1 ,2 ]
Yu M. [3 ]
Han Q. [3 ]
Dong X. [1 ]
机构：
[1] Graduate College, Air Force Engineering University, Xi'an
[2] The Chinese People's Liberation Army, Unit 93175, Changchun
[3] Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2019年 / 45卷 / 03期
关键词：
Dynamic variation; Gradient; Maneuver decision-making; Maneuver inventory; Roulette wheel; Symbiotic organisms search (SOS);
D O I：
10.13700/j.bh.1001-5965.2018.0395
中图分类号：
学科分类号：
摘要：
Aimed at the problem of modern air combat maneuver decision-making, an air combat maneuver decision-making method based on improved symbiotic organisms search (SOS) algorithm is proposed. Firstly, the shortcomings of the traditional basic maneuver inventory are analyzed, improved and expanded, and 11 kinds of common basic maneuver are designed. Secondly, considering the angle, distance, speed, altitude and the performance advantages of fighter planes, the decision-making advantage function of fighter planes is constructed. Finally, aimed at the shortcomings of the traditional SOS algorithm in convergence speed, convergence accuracy and local optimality, the roulette wheel selection method, dynamic variation rate and gradient idea are introduced into the traditional algorithm, and the effectiveness and performance of the algorithm are simulated and analyzed. The simulation results show that the improved SOS algorithm has more advantages in convergence speed, convergence accuracy and jump out of local optimum, and can meet the air combat maneuver decision-making requirements. © 2019, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码：429 / 436
页数：7
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