高超声速飞行试验助推段弹道优化方法  

Investigation on Boost Trajectory Optimization Method of Hypersonic Flight Test

作　　者：张子明[1] 蒋劲[1] 王西耀[1] 

机构地区：[1]中国空气动力研究与发展中心超高速空气动力研究所高超声速冲压发动机技术重点实验室,四川绵阳621000

出　　处：《弹道学报》2016年第3期12-16,共5页Journal of Ballistics

摘　　要：为减小高超声速飞行试验助推段飞行环境的恶劣程度,提出了一种生成三自由度最优弹道的方法。采用基于攻角编码的遗传算法,并用三次样条对攻角-时间历程进行平滑处理。优化过程首先搜索满足窗口参数的可行解,然后以攻角范围、最大动压、最大法向过载等参数为目标函数,以窗口参数为约束,搜索飞行环境恶劣程度最低的最优化弹道。计算结果表明,该算法能够避免理论弹道中存在局部高风险阶段的情况,并具有良好的鲁棒性。To reduce the badness of the flight environment of the boost phase in the hypersonic flight test, a novel optimization method to generate 3-DOF optimal trajectory was proposed. The method based on the angle of attack （ AOA ） encoding genetic algorithm was adopted, and the cubic spline was employed to smooth attack angle time courses. During the optimization process, the feasible solution was first searched to meet window parameters. Then the optimal trajectory with the lowest badness of flight environment was searched for the objective functions such as attack angle range, the maximum dynamic pressure and the maximum normal overload parameters under the constraint of the windows parameters. The results show that the algorithm can avoid the local high risk in the theoretical trajectory, and it has good robustness.

关 键 词：高超声速飞行器 理论弹道 遗传算法 多目标优化 

分 类 号：TJ013[兵器科学与技术—兵器发射理论与技术]