Coordinated target defense for multi-UAVs based on exponentially averaged momentum pigeon-inspired optimization

被引：0
作者：
Duan H. [1 ]
Tong B. [1 ]
Liu J. [2 ,3 ]
机构：
[1] School of Automation Science and Electrical Engineering, Beihang University, Beijing
[2] The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang
[3] School of Electronic Engineering, Xidian University, Xi’an
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2022年 / 48卷 / 09期
基金：
中国国家自然科学基金;
关键词：
differential games; pigeon-inspired optimization (PIO); saddle point strategy; target defense; unmanned aerial vehicle (UAV) confrontation;
D O I：
10.13700/j.bh.1001-5965.2022.0308
中图分类号：
学科分类号：
摘要：
This paper proposes a multi-unmanned aerial vehicle (UAV) cooperative target defense method based on exponentially averaged momentum pigeon-inspired optimization (EM-PIO). Firstly, the multi-UAV cooperative target protection system in three-dimensional space is modeled. The surface constraint equation of the UAV-dominated area and the optimal control input of UAVs are obtained. Secondly, in order to address the constrained optimization problem, the multi-level penalty function method is used to generate the objective function of the optimization algorithm. In addition, an EM-PIO algorithm is proposed to solve the optimal point. Comparative experiments with the genetic algorithm (GA) and particle swarm optimization (PSO) are conducted. The simulation results show that the EM-PIO method can solve the multi-UAV cooperative target defense problem more effectively. © 2022 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
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页码：1624 / 1629
页数：5
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