基于组合算法的运载火箭一子级动力垂直回收轨迹规划  

Trajectory Planning of First Stage Rocket Powered Vertical Recovery Using a Hybrid Optimization Method

作　　者：谢磊[1] 张洪波[1] 周祥 汤国建[1] XIE Lei;ZHANG Hongbo;ZHOU Xiang;TANG Guojian(College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China)

机构地区：[1]国防科技大学空天科学学院

出　　处：《控制与信息技术》2019年第4期79-84,共6页CONTROL AND INFORMATION TECHNOLOGY

基　　金：空间智能控制技术国家重点实验室基金项目(61422080106)

摘　　要：标准轨迹设计是运载火箭一子级动力垂直回收制导方法研究的基础。文章针对标准轨迹设计,提出了一种基于外罚函数法、遗传算法与序列二次规划方法的组合算法。首先,将回收轨迹按照不同飞行特性分为5段,分别是:调姿段、高空滑翔段、动力减速段、气动减速段和着陆段;然后,采用外罚函数法将多约束问题转换为一个无约束问题,并利用遗传算法对其进行优化求解得到初始解;最后,在初始解的基础上,利用序列二次规划算法得到高精度的最优解。数值仿真结果表明,该方法可以优化出一条满足各项约束的回收轨迹,简单有效,具有较强的工程应用价值。Standard trajectory design is the basis of rocket recovery guidance law. For this problem, a new hybrid optimization method combining the exterior penalty method, the genetic algorithm (GA) and the sequential quadratic programming (SQP) was proposed. Firstly, the recovery trajectory is divided into five phases: attitude adjustment phase, high-altitude gliding phase, power deceleration phase, atmospheric deceleration phase and powered landing phase. The multi-constraint problem is then transformed into an unconstrained problem by exterior penalty method, and the initial solution can be obtained by GA. Finally, to get a high accuracy optimal solution, a SQP method is employed. Numerical simulation results show that the proposed method can optimize a high accuracy recovery trajectory that satisfies various constraints, and it is simple and effective, which has a great value in the practical applications.

关 键 词：可重复使用运载火箭 轨迹优化 多约束 遗传算法 序列二次规划 外罚函数法 燃料最优 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计]