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针对由于敌防空系统防御能力不断提高所带来的进攻导弹突防难题,提出主动反拦截突防(IAIP)的概念,以弥补传统机动突防仅考虑进攻导弹的逃逸而忽略其攻击任务的缺陷。根据IAIP制导的内涵,在综合考虑目标的机动性能、拦截导弹末段的拦截特性及进攻导弹的控制系统性能的基础上,建立进攻导弹-目标-拦截导弹的三体运动模型。将突防制导指令的设计等效为最优控制的求解,其中突防指令为实现燃料最省目标的最优解,进攻导弹的过载、拦截导弹的脱靶量、进攻导弹的攻击角、打击精度和突防后的视线角,分别为控制约束、路径约束和末端约束。借鉴控制变量参数化(CVP)方法将最优控制问题转化为非线性数学规划问题,并将路径约束离散化后采用序列二次规划(SQP)算法得到突防时机给定条件下制导指令的数值解。提出基于CVP的混合遗传算法(CVP-GA),用于求解最优突防时机及制导指令。仿真结果显示,采用IAIP最优控制算法的进攻导弹在成功突防后的打击精度仍可满足任务要求,且其燃料消耗相对于传统串联式突防方法降低了23.7%,验证了该方法的有效性及优越性。
Aiming at the problem of attacking missiles caused by the increasing defense capability of enemy air defense systems, this paper proposes the concept of active anti-interception prevention (IAIP) to make up for the shortcomings of traditional mobile penetration considering only the escape of attacking missiles and neglecting their attacking missions . According to the connotation of IAIP guidance, the three-body movement model of attack missile-target-interceptor missile is established based on comprehensively considering the maneuverability of the target, the intercepting characteristics of intercepting missile and the control system of attacking missile. The design of penetration control instruction is equivalent to the solution of optimal control, in which the penetration instruction is the optimal solution to achieve the most fuel-efficient target, the overload of the attacking missile, the miss distance of the interception missile, the attack angle of the attacking missile, And the penetration after the line of sight, respectively, control constraints, path constraints and end constraints. Reference Control Variable Parameterization (CVP) method is used to transform the optimal control problem into a nonlinear mathematical programming problem. After the path constraints are discretized, the sequence quadratic programming (SQP) algorithm is used to obtain the value of the guidance instruction under the given conditions solution. A CVP-based hybrid genetic algorithm (CVP-GA) is proposed to solve the optimal timing and guidance. The simulation results show that the accuracy of the attacking missile using the IAIP optimal control algorithm can still meet the mission requirements and the fuel consumption is reduced by 23.7% compared with the conventional tandem penetration method, which proves the effectiveness of the method Sex and superiority.