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Artificial Immune System Approach for Air Combat Maneuvering

机译:空战机动的人工免疫系统方法

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Since future air combat missions will involve both manned and unmanned aircraft, the primary motivation for this research is to enable unmanned aircraft with intelligent maneuvering capabilities. During air combat maneuvering, pilots use their knowledge and experience of maneuvering strategies and tactics to determine the best course of action. As a result, we try to capture these aspects using an artificial immune system approach. The biological immune system protects the body against intruders by recognizing and destroying harmful cells or molecules. It can be thought of as a robust adaptive system that is capable of dealing with an enormous variety of disturbances and uncertainties. However, another critical aspect of the immune system is that it can remember how previous encounters were successfully defeated. As a result, it can respond faster to similar encounters in the future. This paper describes how an artificial immune system is used to select and construct air combat maneuvers. These maneuvers are composed of autopilot mode and target commands, which represent the low-level building blocks of the parameterized system. The resulting command sequences are sent to a tactical autopilot system, which has been enhanced with additional modes and an aggressiveness factor for enabling high performance maneuvers. Just as vaccinations train the biological immune system how to combat intruders, training sets are used to teach the maneuvering system how to respond to different enemy aircraft situations. Simulation results are presented, which demonstrate the potential of using immunized maneuver selection for the purposes of air combat maneuvering.
机译:由于未来的空战任务将同时涉及有人和无人飞机,因此这项研究的主要动机是使无人飞机具有智能机动能力。在空战机动中,飞行员利用他们的机动战略和战术知识和经验来确定最佳行动方案。因此,我们尝试使用人工免疫系统方法来捕获这些方面。生物免疫系统通过识别和破坏有害细胞或分子来保护人体免受入侵者的侵害。可以认为它是一种鲁棒的自适应系统,能够处理各种干扰和不确定性。但是,免疫系统的另一个关键方面是它可以记住以前的遭遇是如何成功击败的。结果,它可以在将来更快地响应类似的遭遇。本文介绍了如何使用人工免疫系统来选择和构建空战演习。这些操作由自动驾驶模式和目标命令组成,这些命令代表参数化系统的低级构建块。产生的命令序列被发送到战术自动驾驶系统,该系统已通过附加模式和进取性因素进行了增强,以实现高性能机动。就像疫苗接种可以训练生物免疫系统如何与入侵者作战一样,训练集也可以用来指导机动系统如何应对不同的敌机情况。给出了仿真结果,这些结果证明了使用免疫机动选择进行空战机动的潜力。

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