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Recovery trajectory planning for the reusable launch vehicle

机译:可重复使用的发射车辆的恢复轨迹规划

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Trajectory planning method for the entire recovery process of the reusable launch vehicle is studied. Firstly, a revised trajectory correction method (RTCM) is proposed to reduce the maximum normal aerodynamic load in the endo-atmosphere unpowered descent phase and improve the vehicle's landing accuracy on the influence of wind field. It consists of two parts, namely moving the ignition point of the vertical landing phase on the horizontal plane and introducing preset steady wind field into trajectory planning. Secondly, a compound trajectory planning method, which combines Particle Swarm Optimization algorithm (PSO) with Polynomial Guidance Law (PGL), is proposed to complete the optimization task of the entire recovery process. Employing PSO algorithm can avoid the complex calculation of additional angle of attack caused by the preset steady wind field in traditional trajectory correction. To overcome the premature convergence of basic PSO, the traditional re-initialization mechanism is improved. Finally, the guidance simulation of two phases greatly affected by wind is accomplished. The effectiveness of the proposed methods is demonstrated with some scenarios and Monte Carlo simulation. (C) 2021 Elsevier Masson SAS. All rights reserved.
机译:研究了可重复使用发动机的整个恢复过程的轨迹规划方法。首先,提出了一种修改的轨迹校正方法(RTCM),以减少内部大气中的最大正常空气动力载荷,从而提高车辆对风场影响的着陆准确性。它由两部分组成,即在水平面上移动垂直着陆阶段的点火点,并将预设的稳态风场引入轨迹规划。其次,建议将粒子群优化算法(PSO)与多项式引导法(PGL)组合的复合轨迹规划方法,以完成整个恢复过程的优化任务。采用PSO算法可以避免在传统轨迹校正中预设稳态风场引起的额外攻角的复杂计算。为了克服基本PSO的过早融合,改善了传统的重新初始化机制。最后,完成了风力影响的两个阶段的指导模拟。拟议方法的有效性是通过一些情景和蒙特卡罗模拟来证明的。 (c)2021 Elsevier Masson SAS。版权所有。

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