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为解决无人作战飞机(UCAV)鲁棒自主空战决策问题,提出基于统计学原理的鲁棒机动决策方法。为使空战态势变化具有一定的钝感性,建立UCAV数学模型,改进典型的机动动作库,设计空战态势参数的鲁棒隶属度函数。在鲁棒机动决策中引入统计学方法,针对UCAV对抗非机动目标和机动目标两种典型空战案例进行了数字仿真。仿真结果表明,基于统计学原理的鲁棒机动决策方法在引导UCAV向态势优势区域攻击占位方面具有一定的鲁棒性和寻优性。
To solve the problem of robust autonomous air combat (UCAV) decision-making in UCAVs, a robust dynamical decision-making method based on statistical principles is proposed. In order to change air combat situation with certain insensitiveness, a mathematical model of UCAV is established, a typical mobile action library is improved, and a robust membership function of air combat situation parameters is designed. In the robust maneuver decision-making, a statistical method was introduced to simulate two typical air combat cases UCAV against non-maneuvering targets and maneuvering targets. The simulation results show that the robust maneuver decision-making method based on statistical principles has certain robustness and search superiority in guiding the UCAV to occupy positions in the dominant position.