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《防务技术》2022,18(9):1697-1714
To solve the problem of realizing autonomous aerial combat decision-making for unmanned combat aerial vehicles (UCAVs) rapidly and accurately in an uncertain environment, this paper proposes a decision-making method based on an improved deep reinforcement learning (DRL) algorithm: the multi-step double deep Q-network (MS-DDQN) algorithm. First, a six-degree-of-freedom UCAV model based on an aircraft control system is established on a simulation platform, and the situation assessment functions of the UCAV and its target are established by considering their angles, altitudes, environments, missile attack performances, and UCAV performance. By controlling the flight path angle, roll angle, and flight velocity, 27 common basic actions are designed. On this basis, aiming to overcome the defects of traditional DRL in terms of training speed and convergence speed, the improved MS-DDQN method is introduced to incorporate the final return value into the previous steps. Finally, the pre-training learning model is used as the starting point for the second learning model to simulate the UCAV aerial combat decision-making process based on the basic training method, which helps to shorten the training time and improve the learning efficiency. The improved DRL algorithm significantly accelerates the training speed and estimates the target value more accurately during training, and it can be applied to aerial combat decision-making. 相似文献
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无人机飞行训练资源配置效率的AHP-Arena综合评价方法 总被引:1,自引:0,他引:1
为降低传统层次分析法(analytic hierarchy process,AHP)赋权过程主观片面性影响,提出了一种综合AHP与Arena仿真建模技术的无人机训练资源配置效率评价方法。基于飞行训练流程分析,确定了训练资源配置效率影响因素和效率评价指标,建立了层次型综合评价体系,概括了AHP-Arena综合评价步骤。利用Arena建模软件构建训练流程动态仿真系统并验证有效性,采用单变量数值仿真法、均方差决策法完成了影响因素客观赋权,通过线性加权综合法得出综合评价系数,实现资源配置效率评价与方案优选。实例应用说明了该方法的有效性,同时,该方法可推广至其他类似的训练过程中,亦可为其他多因素、多指标评价决策过程提供借鉴。 相似文献
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Toshihiro Higuchi 《战略研究杂志》2013,36(1):83-116
The idea of ‘clean’ bombs, nuclear weapons with a reduced amount of radioactive fallout resulting from their fission part, has met much ridicule since its public inauguration in 1956. Many scholars have regarded the bombs as a propaganda tool, stopping short of analyzing their role in the transformative phase of US nuclear strategy in the 1950s. This paper reexamines the clean bomb episode through 1958, shedding light upon the dynamic relationship between the development of nuclear weapons technology and the evolution of nuclear strategy from massive retaliation to flexible response. It also discusses the mechanism and momentum of nuclear weapons technology innovation until the US suspended nuclear testing in late 1958. 相似文献
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临近空间太阳能飞行器由于苛刻的能源平衡约束,往往具有大展弦比轻质结构,使得其在低空飞行时空速过低,飞行安全性受到了显著的挑战。为了实现该类飞行器在临近空间工作点与中低空爬升过程的气动性能匹配,提出了基于主动变形的太阳能飞行器升空方案。针对性地研究了可变形飞行器的气动和推进系统建模方法,在此基础上定量分析了不同飞行器构型俯仰、滚转和偏航三个通道稳定性和操纵性。给出了从地面到高空机翼逐渐展平的升空方案,并对升空过程中各高度所需平飞推力和功率进行了校核。结果显示,该方案可以有效提升飞行器中低空稳定性和操纵性,代价是增加了功率消耗。 相似文献
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针对无人机自主着陆过程中卫星导航系统易被干扰的问题,提出了一种基于地基多传感器融合的无人机自主着陆引导方法。采用主动式激光照射的方式,获取机载反射棱镜的近红外成像,在红外图像中对无人机目标进行识别;通过坐标转换将识别结果映射到可见光图像中,在可见光图像中选择的感兴趣区域进行可见光目标识别,从而在降低计算量的基础上获得更加精确的无人机相对角度信息;利用距离测量信息和引导系统角度信息可以获得精确的无人机相对位置。无人机着陆引导试验结果表明,该方法能够提供精确的无人机位置信息,能有效适应于复杂背景下的无人机自主着陆引导。 相似文献
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高空长航时无人机编队协同侦察任务规划 总被引:2,自引:0,他引:2
针对高空长航时无人机侦察任务规划特点,分析了高空长航时无人机执行侦察任务过程中的飞行航线约束和通信条件约束,以最小化无人机总飞行航程和最终编队飞行时间为优化目标,建立无人机编队协同侦察任务规划问题模型。同以往的通用侦察任务模型相比,该模型突出考虑了高空长航时无人机执行侦察任务过程的特点。以基本粒子群算法为基础,通过粒子群离散化和结合遗传算法进行改进,使其适用于求解复杂组合优化问题。仿真结果验证了算法求解复杂任务规划问题的有效性。 相似文献
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