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    基于STPA 方法的无人机空战态势分析与战术优化

    UAV Air Combat Situation Analysis and Tactical Optimization Based on STPA Method

    • 摘要: 为高效优化空战战术, 提升无人机 (unmanned aerial vehicle, UAV) 空战对抗胜率, 提出空战态势分析与战术优化方法. 基于 STPA 方法对 UAV 空战对抗过程进行系统建模, 识别可能导致 UAV 任务失败的系统级危害. 根据空战机动控制过程识别导致系统级危害的不安全行为和系统致因, 并制定战术和技术优化措施. 为能够快速验证优化措施的有效性, 设计了 UAV 对抗空战验证平台, 可通过最终的胜负比指标判断优化措施的成效. 为验证空战态势分析与战术优化的有效性, 选取最佳机动距离和相对角度为战术优化对象, 通过胜负比包络曲线的绘制, 可最终选取最佳的机动距离和相对角度组合, 实现胜负比的最大化.

       

      Abstract: In order to optimize air combat tactics efficiently and improve the win rate of UAV air combat, air combat situation analysis and tactics optimization methods are proposed. Firstly, based on STPA method, the UAV air combat confrontation process is modeled to identify system level hazards that may lead to UAV mission failure. Then, according to the air combat maneuver control process, unsafe behaviors and system factors that cause system level hazards are analyzed, and tactical and technical optimization measures are formulated. The UAV air combat confrontation verification platform is designed to quickly verify the effectiveness of the optimization measures, and the effectiveness of the optimization measures can be judged by the final win-lose ratio index.The optimal maneuvering distance and relative angle is selected as tactical optimization objects to verify the effectiveness of air combat situation analysis and tactical optimization.By drawing the win-lose ratio envelope curve, the best combination of maneuver distance and relative angle can be finally selected to maximize the win-lose ratio.

       

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