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English(EN) Diffusion-Based Multiple-Shooting Indirect Optimal Control for Fuel-Optimal Spacecraft Trajectory Generation

扩散模型增强燃料最优航天器轨迹生成

研究人员开发了一种新颖的基于扩散的多重 shooting 间接最优控制方法来生成燃料最优的航天器轨迹。该方法将扩散模型探索能力与间接最优控制方法提供的必要条件显式满足相结合。新方法旨在克服传统间接方法对初始共态估计的敏感性问题,而共态估计对于求解哈密顿边界值问题至关重要。在与地球-火星低推力转移问题上的先进间接方法进行基准测试时,基于扩散的方法显示出更强的收敛鲁棒性。 AI

影响 这项研究可能为太空任务实现更高效、更鲁棒的燃料最优轨迹规划。

排序理由 详细介绍最优控制新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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扩散模型增强燃料最优航天器轨迹生成

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详细介绍最优控制新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Saeid Tafazzol, Ehsan Taheri, Ryne Beeson ·

    基于扩散的多重打靶间接最优控制用于燃料最优航天器轨迹生成

    arXiv:2609.13990v1 Announce Type: cross Abstract: Diffusion-based generative models (DMs) have found applications in control problems, and in particular robotics, where the DMs enable exploration of possible control solutions. A critical shortcoming of these applications is that …