发表机构
Technical University of Denmark; Wavepiston A/S（丹麦技术大学; Wavepiston公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种基于台架数据辨识的短行程海水泵模块化灰箱模型，通过损失分解与多工况验证，实现高精度预测与泛化，支持波浪能PTO的设计与控制。
AI 中文摘要
具有物理可解释性的能量提取装置（PTO）模型在波浪能开发的各个阶段均能提供支持。对于海水泵类PTO，很少有模型是在真实机器上辨识并在系统层面进行验证的。本文提出了一种短行程海水泵的模块化灰箱模型，该模型仅基于台架数据进行辨识。泵被分解为腔体、溢流阀、活塞密封和顶端单向阀等模块，每个模块均依据部件物理特性构建，少量参数则根据端部压力、位移、力和排出质量测量值逐模块辨识，并通过闭式循环质量平衡解耦退化的密封与阀门损失，该平衡与流入量的误差在1%以内。在正弦波工况下，压力激发的活塞密封承担了84%的质量损失和97%的能量损失，泵将约五分之四的输入能量转化为高压流体输出。模型的泛化能力是通过验证而非假设得出的。在斜坡和正弦波工况下确定参数后，模型在自由运行状态下复现360秒海况记录，误差约为量程的10%；在5巴（bar）误差范围内捕捉了数千个峰值中的80%；在辨识出开启压力后，模型可迁移至重新弹簧化的阀门开启行程；能够跟踪千次循环的耐久性记录，漂移低于0.1巴；并复现了力与循环平均吸收功率（0.1至5.7千瓦），中位误差为4%。实用可辨识性与不确定性分析证实，端部数据能够解析保留的参数；三十七次重复记录确定了实验下限。最终成果是一个紧凑且带有物理标签的模型，适用于海水泵PTO的设计、能量评估和基于模型的控制。
英文摘要
Physically interpretable power take-off models support wave-energy development at every stage. For the seawater-pump class, few have been identified on a real machine and validated at the system level. This paper presents a block-modular grey-box model of a short-stroke seawater pump, identified from bench data alone. The pump decomposes into chamber, relief valve, piston seal and tip check valve, each structured by component physics, and the few parameters are identified block by block from terminal pressure, displacement, force and discharged-mass measurements, with a closed-cycle mass balance that decouples the degenerate seal and valve losses and closes to within 1% of the inflow. Over the sinusoidal campaign, the pressure-energised piston seal carries 84% of the lost mass and 97% of the lost energy, and the pump delivers about four-fifths of its input as high-pressure flow. Generalisation is demonstrated rather than assumed. With parameters fixed on ramps and sinusoids, the model reproduces 360 s sea-state records in free run to about 10% of range, captures 80% of several thousand peaks within 5 bar, transfers to a re-sprung valve on cracking strokes once its crack pressure is identified, follows thousand-cycle endurance records that drift below 0.1 bar, and reproduces the force and cycle-mean absorbed power, 0.1 to 5.7 kW, to a 4% median error. A practical-identifiability and uncertainty analysis confirms the terminal data resolve the retained parameters; thirty-seven repeated records set the experimental floor. The result is a compact, physically labelled model for design, energy assessment and model-based control of seawater-pump power take-offs.
Comments46 pages (28 main text + 18 supplementary material), 18 figures, 17 tables, 14 supplementary figures
