基于遗传算法的靶弹爬升段弹道优化设计  

Optimization Design of Climb Trajectory for Target Missile Based on Genetic Algorithm

作　　者：王朝政 朴忠杰 李磊[1] 高婷 Wang Chaozheng;Piao Zhongjie;Li Lei;Gao Ting(Beijing Institute of Space Long March Vehicle,Beijing 100076,China;China Academic of Launch Vehicle Technology,Beijing 100076,China)

机构地区：[1]北京航天长征飞行器研究所,北京100076 [2]中国运载火箭技术研究院,北京100076

出　　处：《战术导弹技术》2021年第2期88-93,共6页Tactical Missile Technology

摘　　要：针对靶弹爬升段弹道设计问题,提出了基于遗传算法的快速优化方法。首先建立了靶弹纵向平面内的飞行力学模型,设计了以俯仰角为控制参数的爬升方案。考虑爬升结束后的弹道倾角约束和转弯过程中的最大攻角限制,以爬升段末端速度最大、弹道高度与预定高度偏差最小以及爬升用时最短为多优化目标,构建了弹道优化模型。最后采用小生境遗传算法(NGA),并加入罚函数方法将优化模型转化为无约束问题,对爬升段弹道控制参数进行了优化。通过MATLAB编程对提出的优化算法进行了验证,仿真结果表明该方法有效可行,为靶弹爬升段弹道优化设计问题提供了快速求解思路,在实际工程设计中具有一定借鉴作用。Aiming at the design of climb trajectory for target missile,a fast optimization method based on genetic algorithm is proposed.First,the flight mechanics model of the target missile in the longitudinal plane is established,and the climbing scheme is designed with the pitch angle as the control parameter.Considering the constraint of the trajectory inclination angle after climbing and the limitation of maximum attack angle during turning,the trajectory optimization model is constructed by using the maximum speed at the end of the climbing section,the minimum difference between the ballistic height and the predetermined height,and the shortest climb time as multiple optimizing objectives.Finally,the optimization model is transformed into an unconstrained problem by introducing a penalty function,and using the niche genetic algorithm(NGA)to optimize the control parameters of the climbing section.The proposed optimization algorithm is verified by MATLAB programming.Simulation results show that the method is effective and feasible.This method provides a quick solution for the optimal design of climbing trajectory of target missile,and has certain reference for practical engineering design.

关 键 词：靶弹 方案弹道 弹道优化 小生境遗传算法 

分 类 号：TJ760.6[兵器科学与技术—武器系统与运用工程]