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自主空战机动决策是基于数学优化、人工智能等方法,模拟飞行员空战决策,自动生成飞行控制指令的过程。它在空战仿真、飞行员辅助决策和无人战斗机自主飞行等领域广泛运用。根据求解思路的不同,综合论述了两类自主空战机动决策方法:针对基于对策的空战决策方法,阐述了从追逃对策到双目标对策的发展脉络和内在联系,并着重分析了两类重要的双目标对策模型——矩阵对策和影响图对策;针对基于人工智能的空战决策方法,系统论述了基于专家系统的机动决策、基于遗传学习系统的机动决策、基于人工免疫系统的机动决策和基于神经网络的机动决策,明确了各种决策的建模方法、适用条件、改进途径等问题。总结了各个空战机动决策方法的优点及不足,指出了自主空战机动决策的进一步研究思路。
Autonomous air combat maneuver decision-making is based on mathematical optimization, artificial intelligence and other methods to simulate the pilot air combat decision-making, automatic generation of flight control instructions. It is widely used in air combat simulation, pilot-assisted decision-making and autonomous fighter jets. According to different solutions, this paper discusses two types of autonomous air-mobile maneuver decision-making methods: aiming at countermeasure-based air combat decision-making method, elaborates the development thread and internal connection from pursuing evasion countermeasure to double-goal countermeasure, and emphatically analyzes two kinds of important In order to solve the air combat decision-making method based on artificial intelligence, this dissertation discusses the maneuver decision based on expert system, the maneuver decision based on genetic learning system, the maneuver decision based on artificial immune system and the neural network based on neural network Network maneuver decision, a clear definition of a variety of decision-making modeling methods, conditions, ways to improve such issues. Summarizes the advantages and disadvantages of each air-mobile maneuver decision-making method, and points out the further research ideas of the maneuver decision-making of the independent air maneuver.