| 基于指数平均动量鸽群优化的多无人机协同目标防御 |
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| 引用本文： | 段海滨,仝秉达,刘冀川.基于指数平均动量鸽群优化的多无人机协同目标防御[J].北京航空航天大学学报,2022,48(9):1624-1629. |
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| 作者姓名： | 段海滨 仝秉达 刘冀川 |
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| 作者单位： | 1.北京航空航天大学 自动化科学与电气工程学院, 北京 100083 |
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| 基金项目： | 科技创新2030-“新一代人工智能”重大项目2018AAA0102303国家自然科学基金U20B2071国家自然科学基金91948204国家自然科学基金T2121003国家自然科学基金U1913602 |
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| 摘 要： | 针对多无人机(UAV)协同目标防御问题，提出了一种基于指数平均动量鸽群优化(EM-PIO)算法。针对三维空间中的多无人机协同目标防御系统进行建模，得到了无人机支配区域的曲面约束方程，并获得了双方无人机的最优控制输入量。采用多级罚函数法构造了优化算法的目标函数，并通过所提出的EM-PIO算法来求解最优目标点。将所提EM-PIO算法与遗传算法(GA)和粒子群优化(PSO)算法进行仿真对比实验，验证了所提EM-PIO算法更加有效解决多无人机协同目标防御问题。
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| 关 键 词： | 无人机(UAV)对抗 鸽群优化(PIO) 目标防御 微分博弈 鞍点策略 |
| 收稿时间： | 2022-04-30 |
Coordinated target defense for multi-UAVs based on exponentially averaged momentum pigeon-inspired optimization |
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| Institution: | 1.School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China2.The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China3.School of Electronic Engineering, Xidian University, Xi'an 710071, China |
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| Abstract: | 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. |
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