飞控与探测2025，Vol.8Issue(1)：57-66,10.DOI:10.20249/j.cnki.2096-5974.2025.01.007
基于改进RRT*的RLV在线再入轨迹规划算法
Online Re-entry Trajectory Planning Algorithm for Reusable Launch Vehicle Based on Improved RRT
摘要
Abstract
A re-entry trajectory planning method based on the rapidly-exploring random tree(RRT*)algorithm is proposed for the Reusable Launch Vehicle(RLV)under multiple con-straints.During the longitudinal profile planning,a multi-constraint flight corridor is constructed in the altitude-velocity space according to dynamic pressure,load,heat rate and equilibrium glide condition constraints.In order to obtain a smooth,controllable altitude-velocity reference trajecto-ry,three types of cost have been proposed,i.e.,cost of control,smooth trajectory and range,which improves the RRT*.By doing so,a feasible reversal point can be guaranteed which will be used to design the lateral trajectory to the heading alignment circle(HAC)and the 3DOF trajecto-ry design is realized.Further,the RRT*algorithm is employed to solve the derived optimal prob-lem quickly.The proposed algorithm transforms the re-entry trajectory planning problem under multiple constraints into a path cost setting problem in the RRT*algorithm that greatly improves the speed and reliability of trajectory planning.The simulation results show that the designed ref-erence trajectory is smooth,and the logic is simple and easy to implement in engineering.关键词
可重复使用运载飞行器/在线再入轨迹规划/改进RRT*/多约束Key words
RLV/online re-entry trajectory planning/improved RRT*/constraints引用本文复制引用
符歆国,关成启,杨婷,佘智勇..基于改进RRT*的RLV在线再入轨迹规划算法[J].飞控与探测,2025,8(1):57-66,10.基金项目
国家自然科学基金(62003271) （62003271）
