带工程约束凸优化动力下降制导设计及飞行试验
Design and Flight Test Verification of Convex Optimization Powered Descent Guidance Algorithm under Engineering Constraints
卓佳 1周月荣 1魏鑫 1李雪 1李文超 1刘百奇1
作者信息
- 1. 北京星河动力装备科技有限公司,北京 100176
- 折叠
摘要
针对带推力指向限制、速度方向限制及推力变化率限制等工程约束的软着陆机动制导问题,提出了一种基于凸优化的在线轨迹优化及制导算法.基于最优控制理论分析了推力指向约束对非凸约束松弛凸化的影响,采用Lagrange插值方法消除了指令内生波动.依托于可重复使用飞行试验平台开展了多状态多架次飞行试验验证.飞行试验结果表明该算法可以适应多种约束与工况下的规划与制导需求,具备进一步向工程实践应用转化的潜力.
Abstract
An online trajectory optimization and guidance algorithm based on convex optimization is pro-posed for the soft landing maneuver guidance problem under engineering constraints such as thrust pointing constraint,speed direction constraint and thrust change rate constraint.Based on the optimal control theo-ry,the influence of thrust pointing constraint on the relaxation convexization of non-convex constraint is an-alyzed,and the Lagrange interpolation method is used to eliminate the endogenous fluctuation of the guid-ance command.The multi-state multi-flight test is implemented,which is based on the reusable flight test platform.The flight test results show that the algorithm can adapt to the planning and guidance require-ments under various constraints and conditions and has the potential to be further served as engineering practice.
关键词
凸优化/动力下降制导/工程约束/飞行试验Key words
Convex optimization/Powered descent guidance/Engineering constraints/Flight test引用本文复制引用
出版年
2024
NETL
NSTL
万方数据