基于统计学原理的无人作战飞机鲁棒机动决策

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。

UCAV Robust Maneuver Decision Based on Statistics Principle

An UCAV (unmanned combat air vehicle) robust maneuver decision method based on statistics principle is proposed for UCAV robust autonomous combat decision. A mathematic model of UCAV is built to reduce the sensibility of the combat maneuver decision. The typical maneuver library is improved, and the robust membership functions of the air combat situation parameters are designed. The statistics method is introduced in the robust maneuver decision, and the simulations are carried out with two typical air combat cases of UCAV confront maneuver and non-maneuver objects. The simulated results indicate that the robust maneuver decision method has the robustness and optimizing capability in guiding UCAV to the advantage situation.