基于自适应动态规划的反高超武器微分对策制导律

随着各国高超声速技术的武器化进程加快,对反高超声速武器拦截技术的研究也不断深入,高超声速 武器高速度、大范围主动博弈突防的拦截制导问题成为拦截制导律设计领域的研究热点。针对具有主动博弈突防能力的高超声速目标拦截场景进行微分对策问题建模,并采用基于双启发式的自适应动态规划算法,对连 续非线性系统的微分对策纳什均衡解进行求取;通过 Matlab数字仿真对设计的拦截制导方法进行验证。结果 表明:相较于最优滑模制导律,基于自适应动态规划的微分对策制导律对目标的逃逸机动具有更强的适应性, 能够获得更高的拦截精度。

ifferential Game Guidance Law Based on Adaptive Dynamic Programming for the Interception of Hypersonic Targets

With the rapid development of hypersonic vehicle technology, the research of the defense approach of the hypersonic weapons is becoming more and more important. A lot of guidance law researchers made their efforts to tackle with the problem of high speed, active large scale maneuverability of the hypersonic targets. In this paper, we defined this interception problem as a typical differential game, and we used the adaptive dynamic programming method to learn the Nash Equilibrium solution of the nonlinear continuous time system. At last, the numerical simulation is provided, the result shows that the proposed method is more robust than the baseline method.