高马赫数飞行器准平衡飞行段弹道优化方法  

A ballistic optimization method for quasi-equilibrium flight segment of high-mach-number aircrafts

作　　者：温杰 周欢[1] 丛戎飞 丁智坚 张旭 WEN Jie;ZHOU Huan;CONG Rongfei;DING Zhijian;ZHANG Xu(Institute of System Engineering,China Academy of Engineering Physics,Mianyang 621999,China;Aerospace Technology Research Institute,China Aerodynamics Research and Development Center,Mianyang 621000,China)

机构地区：[1]中国工程物理研究院总体工程研究所,四川绵阳621999 [2]中国空气动力研究与发展中心空天技术研究所,四川绵阳621000

出　　处：《兵器装备工程学报》2023年第9期222-233,共12页Journal of Ordnance Equipment Engineering

基　　金：四川省科技创新人才项目(20CXRC0040);中国工程物理研究院创新发展基金项目(CX20210016)。

摘　　要：针对类HTV飞行器准平衡飞行段弹道优化问题,提出一种基于改进直接打靶法和自适应遗传算法的混合优化方案。首先在控制约束范围内构造控制量数据集,将控制量初末时刻值和终端时刻纳入优化设计变量,利用改进直接打靶法使以最远航程为目标函数,满足控制约束、过程约束(动压、过载、热流率及禁飞区等)、终端约束的动态最优控制问题参数化为非线性规划问题。在此基础上借助自适应遗传算法对控制量参数进行全局寻优,通过三次样条插值对控制量-时间历程平滑处理,利用四阶龙格库塔法进行数值积分,以此得到符合条件的理想弹道。经仿真验证,提出的弹道优化算法相较于原算法(直接打靶法-遗传算法)收敛速度更快,性能指标更优,降低了对初值的敏感程度,具备一定的鲁棒性,能够实现规避多禁飞区,搜索到满足约束条件且保证航程最远的理想轨迹。A hybrid optimization solution based on improved direct shooting method and adaptive genetic algorithm is proposed for the class HTV aircraft quasi-equilibrium flight segment ballistic optimization.Firstly,the control variable data set is constructed within the control constraint range,and the initial and terminal moments of the control variable value and the terminal time are incorporated into the optimal design variables.Then,the improved direct shooting method is used to make the dynamic optimal control that satisfies the control constraint,process constraints(dynamic pressure,overload,heat flow rate,no-fly zone,and others)and terminal constraint with the longest range as the objective function.The problem is parameterized as a nonlinear programming problem.On this basis,the global optimization of the control parameters is performed by an adaptive genetic algorithm,and the control variable-time history is smoothed by three-sample interpolation,and the fourth order Ronge-Kutta method is used for numerical integration to obtain the ideal ballistic path.The proposed ballistic optimization algorithm is verified that it has faster convergence speed and better performance than the original algorithm(direct shooting method-genetic algorithm).Moreover,the proposed algorithm reduces sensitivity to initial valuations,and certain robustness,which can avoid multiple no-fly zones and achieve the ideal trajectory that satisfies the constraints and guarantees the longest range.

关 键 词：高马赫数飞行器 准平衡飞行段 弹道优化 改进直接打靶法 自适应遗传算法 四阶龙格库塔法 多禁飞区 

分 类 号：TJ760[兵器科学与技术—武器系统与运用工程]