机动弹头中段突防姿态的搜索算法研究

针对弹道导弹在大气层外的机动突防问题,建立了攻防对抗双方的六自由度动力学和运动学模型;研究拦截弹的导引律,对比例导引加以改进,用卡尔曼滤波估计视线角和方位角的变化率估算敌方的飞行信息;研究了机动弹头的智能规避策略,主要对如何确定机动方向展开研究,基于使EKV过载最大化的原则,提出了一种姿态搜索算法.经仿真验证,该算法提高了规避策略的自适应性和鲁棒性,对于增大脱靶量、提高导弹突防概率效果显著.

Research on Attitude Search Algorithm for Maneuvering Penetration of Ballistic Missile in Middle-course Flight

For the problem of maneuvering penetration in the extra-atmosphere,firstly,a six-degree of freedom dynamics and kinematics model of two antagonizing sides is established.Secondly,provided that EKV adapts improved proportional navigation guidance law,which uses EKF to estimate azimuth and light of sight(LOS) angle accelerations and further more the flight information of the opponent.Then,as a part of the intelligent evading strategy,an attitude search algorithm is proposed,which is based on the fundamental of maximizing the interceptor's over loading.Finally,the algorithm is validated by simulation and turned out to be effective in increasing the miss distance and improving the penetration probability of missile.