Optimal design of nominal attack of angle for re-entry vehicle
-
摘要: 再入飞行器的标称攻角在弹道规划以及飞行器覆盖能力分析中起到重要作用,由于再入飞行中气动加热严重,过载和动压约束严格,给标称攻角的设计带来很大困难.针对弹道射面内最大纵程和最小总热载荷问题,在考虑热流、动压和过载约束下分别进行标称飞行攻角的优化设计.首先将过程约束转化为对控制量攻角的约束,将需要优化的标称攻角通过分段线性函数参数化,把最优控制问题转化为4个参数的寻优问题,然后利用遗传算法获得参数的初始猜想,并设计序列二次规划(SQP,Sequential Quadratic Programming)算法求解.仿真结果显示该方法能够快速获取再入标称飞行攻角,为再入轨迹优化和制导总体设计提供参考.Abstract: The design of nominal attack of angle is important for re-entry vehicle. It is also a challenge because of constrains such as air heating, loading and dynamic pressure. A rapid optimal design method for nominal attack of angle was proposed. First the path constrains were converted into control constrain for attack of angle. Then the attack of angle was parameterized by four parameters. The genetic algorithm was used to obtain the initial guess of parameters. Finally the re-entry trajectory was solved by sequential quadratic programming(SQP) technique. The simulation results show that the method finds the optimal nominal attack of angle quickly and can be used for the re-entry trajectory optimization and guidance researches.
-
[1] Leavitt A J,Mease K D,Feasible trajectory generation for atmospheric entry guidance [J].Journal of Guidance Control and Dynamics,2007,30(2):473-481 [2] 王俊波,田源,任章.基于最优化问题的混合再入制导方法[J].北京航空航天大学学报,2010,6(36):736-740 Wang Junbo,Tian Yuan,Ren Zhang,Mixed guidance method for reentry vehicles based on optimization [J].Journal of Beijing University of Aeronautics and Astronautics,2010,6(36):736-740(in Chinese) [3] 李惠峰,谢陵.基于预测校正方法的RLV再入制导设计[J].北京航空航天大学学报,2009,11(35):1344-1348 Li Huifeng,Xie Ling.Reentry guidance law design for RLV based on predictor-corrector method [J].Journal of Beijing University of Aeronautics and Astronautics,2009,11(35):1344-1348(in Chinese) [4] Ping Lu,John M H.Entry Guidance for the X-33 Vehicle [J].Journal of Spacecraft and Rocket,1998,35(3):342-349 [5] Vinh N X,Busemann A,Culp R D.Hypersonic and planetary entry flight mechanics[M].Ann Arbor:Univ of Michigan Press,1980:26-27 [6] Shen Z,Lu P.On-board generation of three-dimensional constrained entry trajectories [J].Journal of Guidance Control and Dynamics,2003,26(1):111-121 期刊类型引用(8)
1. 徐红，矫桂娥，张文俊，陈一民. 基于卷积神经网络的结构化非平衡数据分类算法. 计算机工程. 2023(02): 81-89 . 
百度学术2. 王萌铎，续欣莹，阎高伟，史丽娟，郭磊. 基于AdaBoost集成加权宽度学习系统的不平衡数据分类. 计算机工程. 2022(04): 99-105+112 . 百度学术3. 张利剑，陈晋鹏. 基于扩展Jarvis-Patrick聚类的异常检测算法优化及检测仿真. 电子设计工程. 2022(13): 100-104 . 百度学术4. 张伊扬，钱育蓉，陶文彬，冷洪勇，李自臣，马梦楠. 基于深度学习的属性图异常检测综述. 计算机工程与应用. 2022(19): 1-13 . 百度学术5. 苏江军，董一鸿，颜铭江，钱江波，辛宇. 面向复杂网络的异常检测研究进展. 控制与决策. 2021(06): 1293-1310 . 百度学术6. 陈波冯，李靖东，卢兴见，沙朝锋，王晓玲，张吉. 基于深度学习的图异常检测技术综述. 计算机研究与发展. 2021(07): 1436-1455 . 百度学术7. 张建宁. 基于改进动态图算法的软件保护技术. 科技通报. 2021(08): 56-60 . 百度学术8. 吴德胜，管媛辉. 移动互联网异常入侵行为下攻击意图预测仿真. 计算机仿真. 2018(12): 241-244 . 百度学术其他类型引用(5)
-
百度学术
点击查看大图
计量
- 文章访问数: 1857
- HTML全文浏览量: 320
- PDF下载量: 763
- 被引次数: 13
下载:
