用最优控制优化博登湖渡轮节能运行，实时指导航行
Toward a Decision Support System for Energy-Efficient Ferry Operation on Lake Constance based on Optimal Control
- 基于滚动时域最优控制，融合船体动力学与风浪扰动模型
- 实测数据表明可提升效率并保持预定航程时间
- 适合关注内河航运节能与智能调度的从业者
海运业正经历由自主化、脱碳化和数字化转型驱动的颠覆性变革。应对这些趋势需要重新评估内河船舶运营方式。本文设计并开发了一套基于滚动时域最优控制框架的渡轮运营决策支持系统。问题建模结合了渡轮动力学模型及环境扰动（如水流和风）的影响，这些因素可能显著改变航行状态。利用真实世界数据和示范场景，结果表明该系统能为渡轮船员提供实时导航建议，有效提升运营效率，同时维持预设的航行时长。研究显示，最优控制在推动内陆水域未来渡轮运营方面具有巨大潜力。实地渡轮MS Insel Mainau在博登湖的运行视频可访问：https://youtu.be/i1MjCdbEQyE
原文摘要 · Abstract (English)
The maritime sector is undergoing a disruptive technological change driven by three main factors: autonomy, decarbonization, and digital transformation. Addressing these factors necessitates a reassessment of inland vessel operations. This paper presents the design and development of a decision support system for ferry operations based on a shrinking-horizon optimal control framework. The problem formulation incorporates a mathematical model of the ferry's dynamics and environmental disturbances, specifically water currents and wind, which can significantly influence the dynamics. Real-world data and illustrative scenarios demonstrate the potential of the proposed system to effectively support ferry crews by providing real-time guidance. This enables enhanced operational efficiency while maintaining predefined maneuver durations. The findings suggest that optimal control applications hold substantial promise for advancing future ferry operations on inland waters. A video of the real-world ferry MS Insel Mainau operating on Lake Constance is available at: https://youtu.be/i1MjCdbEQyE
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。