Research on parafoil optimal flight path planning algorithm for precise recovery of sub-stage booster of rocket

Author:

XING Xiaojun,HAN Yichen,FAN Guozheng,CHEN Mengping,LI Fenghao

Abstract

Parafoil is an important novel method to realize the precise recovery of sub-stage booster of rocket. In this paper, a parafoil optimal path planning algorithm based on longicorn algorithm is proposed to solve the problems that the parafoil is easily affected by wind field and the error of landing point is large in the recovery of sub-stage booster of rocket. Firstly, according to the dynamics and kinematics equations of the parafoil and a rocket sub-stage combined system, a 6-degree-of-freedom model of the system was established to analyze the effects of different downward deviation on the forward velocity, vertical velocity and the trajectory planning of the parafoil during the homing process of the rocket sub-stage. On this basis, the number of circling turns, radius and azimuth of the cutting-high section of the combination of the parafoil and the sub-stage booster were taken as the optimal parameters, and the optimal path planning was carried out by using the longicorn algorithm. Finally, a homing path with comprehensive consideration of energy and the accuracy of the landing point was obtained. The simulation results show that the piecewise optimal flight path planning algorithm based on longicorn algorithm proposed in this paper has fast convergence speed and high precision of flight track landing point.

Publisher

EDP Sciences

Subject

General Engineering

Reference13 articles.

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Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Terminal Trajectory Planning for the First-Stage Booster of Rocket Recovery by Parafoil System in Complex Obstacle Environments;IEEE Transactions on Aerospace and Electronic Systems;2024-08

2. Online Trajectory Planning for Parafoil First-Stage Booster System in Complex Wind Field;Journal of Aerospace Engineering;2023-07

3. Homing Control of Parafoil System with Optimal Trajectory Planning;2022 7th International Conference on Robotics and Automation Engineering (ICRAE);2022-11-18

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