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Artificial bee colony???based direct collocation for reentry trajectory optimization of hypersonic vehicle

机译:基于人工蜂群的直接配置用于高超音速飞行器的再入轨迹优化

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摘要

Reentry trajectory planning has become a key issue because of the rapid development of hypersonic vehicles. In this paper, an artificial bee colony (ABC)???based direct collocation method is proposed for reentry trajectory optimization. First, the reentry trajectory optimization problem is elaborated. The principles of the ABC algorithm are then introduced. Finally, the ABC-based direct collocation method is proposed. The control variables are discretized at a set of Legendre???Gauss collocation points and are optimized with the ABC approach. The parameters in ABC are assigned in terms of both the performance and the time cost of the algorithm. A penalty factor is adopted to modify the fitness value of some particular individuals in the colony so that every individual can be fully used. Series of comparative experimental results verify the feasibility and effectiveness of our proposed method. Further discussions and simulations are given for analyzing the impact of ABC parameters on the performance of the method.
机译:由于高超音速飞行器的迅速发展,折返轨迹规划已成为关键问题。本文提出了一种基于人工蜂群(ABC)的直接配置方法,用于再入轨迹的优化。首先,阐述了再入轨迹的优化问题。然后介绍了ABC算法的原理。最后,提出了一种基于ABC的直接配置方法。控制变量在Legendre-Gauss配置点处离散化,并使用ABC方法进行了优化。 ABC中的参数是根据算法的性能和时间成本分配的。采用惩罚因子来修改群体中某些特定个体的适应度值,以便每个个体都能得到充分利用。一系列比较实验结果验证了我们提出的方法的可行性和有效性。给出了进一步的讨论和仿真,以分析ABC参数对方法性能的影响。

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