大型无人潜航器多学科总体优化与发展综述

Review of Multidisciplinary Design Optimization and Development for Large Scale UUVs

  • 摘要: 为适应深远海开发与安全保障的战略需求,具备长航时、远程、高速及低噪声等特征的大型无人潜航器成为海洋技术竞争的制高点。本文系统综述了大型无人潜航器技术族谱,重点剖析了其在实现综合高性能目标过程中所面临的多学科总体优化核心挑战。研究揭示能源动力、声隐身、流体结构及智能控制等学科性能指标深度耦合、相互制约,传统串行设计方法难以实现系统全局最优。为此,本文构建了一套涵盖当量航程、当量负载和置空率等“总体性能多维度衡量体系”,旨在将设计目标从满足性能指标转变为寻求最优的多维性能组合,为总体设计优劣提供了科学评议依据。在此基础上,系统梳理了国际主流大型无人潜航器的总体参数与技术特点,深入分析了克服长航时可靠性、能源瓶颈及海洋弱观测-通信环境下自主控制等难题的解决路径。最后展望了大型无人潜航器向智能化、体系化、跨域协同方向演进的发展趋势,指出了推动大型无人潜航器未来性能跨越式发展的关键,为大型无人潜航器的技术创新与工程实践提供系统性参考。

     

    Abstract: To meet the strategic needs of deep-sea exploration and security, large scale UUVs with long-endurance, long-range, high-speed, and low-noise capabilities have become the commanding height of marine technology competition. This paper systematically reviews the technology genealogy of these UUVs, mainly discusses the core challenges of Multidisciplinary Design Optimization (MDO) encountered in achieving comprehensive and high-performance objectives. The study reveals that performance metrics across disciplines such as energy and propulsion, acoustic stealth, hydrodynamics structure, and intelligent control are deeply coupled and mutually constraining, and it is difficult for traditional sequential design methods to achieve global system optimum. To address this, the paper constructs a “multi-dimensional measurement system for overall performance” encompassing equivalent endurance, equivalent payload, and vacancy ratio, this system aims to shift the design goals from meeting performance metrics to seeking the optimal multi-dimensional performance combination, and provides a scientific basis for evaluating the performance of the overall design. Building upon this framework, the paper systematically compiles the general parameters and technical features of internationally mainstream large scale UUVs, and it provides an in-depth analysis of solution paths to overcome challenges such as long-endurance reliability, the energy bottleneck, and autonomous control in ocean weak observation-communication environments. Finally, the review concludes by outlining future development trends towards intelligent, systematic, and cross-domain cooperative, and points the key to promoting the leapfrog development of the future performance of large scale UUVs, and it provides a systematic reference for the technological innovation and engineering practice of large scale UUVs.

     

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