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提出了一种同时考虑大气层外拦截弹中段和末段飞行过程的拦截优化方法。首先建立了大气层外拦截弹中段和末段飞行的动力学模型,并设计了速度增益中制导律和鲁棒变结构末制导律;然后确定了影响拦截性能的优化控制参数及其约束条件,以拦截过程的燃料消耗质量和脱靶量最小为组合性能指标;最后采用具有全局最优性的遗传算法对这一拦截优化问题进行了仿真研究,并与复形调优算法的结果进行了比较。仿真结果表明,遗传算法与传统优化方法相比在解决大气层外拦截弹带约束复杂非线性组合优化问题时,能更好地收敛到全局最优值,并能有效降低大气层外拦截的燃料消耗和脱靶量。
An interception optimization method considering both the mid-flight and the final flight of an interceptor outside the atmosphere is proposed. First of all, the dynamic models of the middle and the last flight of the interceptor outside the atmosphere are established, and the guidance law of the speed gain and the terminal guidance law of the robust variable structure are designed. Then, the optimal control parameters and their constraints that affect the interception performance are determined. The minimum fuel consumption and the amount of miss distance during the interception process are combined performance indicators. Finally, the genetic optimization algorithm with global optimality is used to simulate the interception optimization problem and compared with the results of complex shape tuning algorithm. The simulation results show that compared with the traditional optimization method, the genetic algorithm can better converge to the global optimal value when it is used to solve complex non-linear combinatorial optimization problem of intercepting latticed belt outside the atmosphere and can effectively reduce the fuel consumption and Off-target amount.