弹道导弹助推段突防多目标优化设计方法

Multiobjective Optimization Algorithm of Survivability of Ballistic Missile in Boost Phase

为提高弹道导弹突防能力,以导弹助推段飞行弹道和发动机为优化对象,在导弹助推段运动模型、弹道设计模型、发动机推力模型和红外辐射特性模型的基础上,提出了基于混合遗传算法的导弹助推段突防多目标优化设计方法.给出某弹道导弹助推段突防优化设计实例,优化后导弹助推段飞行时间比初始值缩短了20.4%,红外辐射强度降低了22.3%.该优化方法可有效解决导弹助推段突防方案的优化设计问题.

To improve the survivability of ballistic missile, taking the boost trajectory and boost motor of ballistic missile as optimization object, a multiobjective optimization algorithm on the basis of hybrid genetic arithmetic was proposed based on the boost movement model, trajectory design model, propulsion model and infrared radiation model of ballistic missile. The multiobjec- tive optimization algorithm was applied to the boost penetration design Of ballistic missile. By optimization, the flying time in boost phase reduces by 20.4%, and the infrared radiation reduces by 22.3%. The optimization algorithm can be applied to improve the survivability of ballistic missile in boost phase effectively.