用追逐法对单个目标进行群体追捕的几何模型

A. Dubanov
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引用次数: 0

摘要

本文描述了用追逐法对单个目标进行群追的模型。所有参与追踪模型的物体都以恒定的模速度运动。过程中的一个参与者沿着一定的轨迹运动,并按规定的时间间隔释放目标,其任务是通过追逐方法实现目标。所有物体对运动路径的曲率都有限制。反过来,单个目标的任务是实现使用并行方法释放对象的目标。对于每个跟踪目标,以两束的形式形成一个检测区域。物体的速度矢量沿着这些射线形成的角的平分线。如果目标进入检测区域,则物体开始追逐,速度矢量指向目标。如果目标离开检测区域,则目标进行均匀的直线运动。任务是实现一个多群体追逐的动态模型,其中每个对象都有自己的任务,通过追逐方法实现。作为一个例子,本文中开发的模型可能需要,可以给出以下示例。考虑一个低机动性物体正在超越一个更快的目标的运动。作为一种保护手段,建议投放各种自主控制武器,而不是释放被动热阱。对现有研究的分析表明,这种保护飞机的手段并不存在。研究结果可用于具有自主控制和人工智能元素的无人机设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GEOMETRIC MODEL OF GROUP PURSUIT OF A SINGLE TARGET BY THE CHASE METHOD
The article describes the model of group pursuit of a single target by the chase method. All objects participating in the pursuit model move with a constant modulo speed. One of the participants in the process moves along a certain trajectory and releases objects at specified intervals, the task of which is to achieve the goal by the chase method. All objects have restrictions on the curvature of the motion path. A single target, in turn, is tasked with achieving the target that releases objects using the parallel approach method. For each pursuing object, a detection area is formed in the form of two beams. The object's velocity vector is directed along the bisector of the angle formed by such rays. If the target enters the detection area, then the object starts pursuit and the velocity vector is directed to the target. If the target leaves the detection area, then the object makes a uniform and rectilinear movement. The task is to implement a dynamic model of multiple group pursuit, where each object has its own tasks, implemented by the chase method. As an example, where the model developed in the article could be in demand, the following example can be given. Consider the movement of a low-maneuverable object that is overtaking a faster target. As a means of protection, instead of releasing passive heat traps, it is proposed to drop a variety of autonomously controlled weapons. An analysis of existing studies has shown that such means of protecting aircraft do not exist. The results of the research can be in demand in the design of unmanned aerial vehicles with elements of autonomous control and artificial intelligence.
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