Re-entry trajectory optimization for space shuttle using Sine-Cosine Algorithm

Arunava Banerjee, M. Nabi
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引用次数: 25

Abstract

The re-entry phase of the reusable launch vehicle (RLV) is a challenging optimal control problem because of its high nonlinearity and numerical sensitivity. In this paper, a recently proposed metaheuristic optimization algorithm, Sine-Cosine Algorithm(SCA) is employed to solve the re-entry trajectory problem for space shuttle vehicle. A cost function which maximizes the cross range along with satisfying certain boundary conditions is selected for the problem. Control inputs are parameterized with defined ranges for the implementation of SCA to solve the optimal control problem. The results demonstrate the optimal trajectory. The results obtained show efficiency and applicability of SCA for solving the trajectory optimal control problem.
基于正弦余弦算法的航天飞机再入轨迹优化
可重复使用运载火箭(RLV)的再入阶段由于其高度非线性和数值敏感性,是一个极具挑战性的最优控制问题。本文采用一种新提出的元启发式优化算法——正弦余弦算法(SCA)求解航天飞机的再入轨道问题。在满足一定边界条件的情况下,选择使交叉范围最大的代价函数。控制输入被参数化并定义范围,以实现SCA来解决最优控制问题。结果证明了最优轨迹。结果表明,该方法在求解轨迹最优控制问题上具有较好的有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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