基于Prony分解的海上风电运维船升沉运动预报方法
卢洪超,晏志清,陈超核,樊天慧.基于Prony分解的海上风电运维船升沉运动预报方法
[J].宁波大学学报(理工版),2026,39(3):9-17.DOI:10.20098/j.cnki.1001-5132.2025.0813
LU Hongchao,YAN Zhiqing,CHEN Chaohe,FAN Tianhui.Prediction method for the heave motion of offshore wind farm maintenance vessels based on Prony decomposition
[J].Journal of Ningbo University(Natural Science & Engineering Edition),2026,39(3):9-17.DOI:10.20098/j.cnki.1001-5132.2025.0813
| Title: | Prediction method for the heave motion of offshore wind farm maintenance vessels based on Prony decomposition |
| 作者: | 卢洪超, 晏志清, 陈超核, 樊天慧 |
| Author(s): | LU Hongchao, YAN Zhiqing, CHEN Chaohe, FAN Tianhui |
| 关键词: | 海上风电运维船; Prony分解; Hankel矩阵; 极值-留数; 升沉运动预报 |
| Keywords: | offshore wind farm maintenance vessel; Prony decomposition; Hankel matrix; pole-residue; heave motion prediction |
| 分类号: | TK89 |
| DOI: | 10.20098/j.cnki.1001-5132.2025.0813 |
| 文献标识码: | A |
| 摘要: | 海上风电运维船作业时受到风浪流作用而产生六自由度运动,其中升沉运动对运维人员和设备的安全攀登造成极大威胁。针对海上风电运维船升沉运动预报问题,采用观测到的升沉加速度数据,构建Hankel矩阵并进行SVD,计算加速度的极值和留数,实现加速度信号的Prony分解。将加速度的极值-留数表达式转化为衰减三角函数的和式,对其进行积分,从而得到升沉运动的位移表达式,实现海上风电运维船升沉运动短时预报。分别将其应用于单自由度和海上风电运维船数值模型中,得到的升沉运动与理论计算结果吻合较好,能够实现升沉运动的短时预报。 |
| Abstract: | During offshore wind farm maintenance operations, service vessels are subjected to six degrees of freedom (DOF) motion due to the combined effects of wind, waves, and currents. Among these motions, heave motion poses a significant threat to the safe climbing of maintenance personnel and equipment. To address the issue of heave motion prediction for offshore wind farm maintenance vessels, observed heave acceleration data is utilized to construct a Hankel matrix, followed by singular value decomposition. The poles and residues of the acceleration signal are then calculated by applying Prony decomposition. The pole-residue form of acceleration is transformed into a sum of decaying trigonometric functions, which is then integrated to obtain the displacement expression of the heave motion, thereby enabling short-term prediction of the vessel’s heave motion. This method is applied to both a single-degree-of-freedom system and a numerical model of an offshore wind farm maintenance vessel. The predicted heave motion results show good agreement with theoretical calculations, which demonstrate the effectiveness of the approach in short-term heave motion prediction. |
| 参考文献 /References: | [1].GWEC. Global offshore wind report 2023[R]. Brussels: Global Wind Energy Council, 2023. [2].高巍, 周华. 风电运维船登靠作业概率评估[J]. 中国海洋平台, 2018, 33(6):77-84. [3].陈万紫, 张培珍, 黄健儿, 等. 动态海面上方船舶六自由度运动仿真[J]. 海洋技术学报, 2019, 38(1):40-45. [4].杨春晖. 风电运维船水动力性能及运动预报研究[D]. 镇江: 江苏科技大学, 2022. [5].CARRICA P M, WILSON R V, NOACK R W, et al. Ship motions using single-phase level set with dynamic overset grids[J]. Computers & fluids, 2007, 36(9):1415- 1433. [6].KIM S P. CFD as a seakeeping tool for ship design[J]. International journal of naval architecture and ocean engineering, 2011, 3(1):65-71 [7].邓磊, 董文才, 姚朝帮. 迎浪规则波中小水线面双体船纵向运动及波浪载荷非线性特性数值分析[J]. 船舶力学, 2017, 21(3):249-262. [8].谢云平, 彭鹏. 海上三体风电运维船阻力和运动性能综合研究[J]. 船舶工程, 2015, 37(12):13-17. [9].朱克强, 郑道昌, 周江华, 等. 船舶结构的波浪载荷与响应分析[J]. 宁波大学学报(理工版), 2004, 17(4):454- 459. [10].YUMORI I. Real time prediction of ship response to ocean waves using time series analysis[C]//OCEANS 81. Boston, MA, USA. IEEE, 2010:1082-1089. [11].仝哲, 宋明, 袁巍, 等. 极地船舶层冰阻力及运动响应数值预报[J]. 船舶工程, 2023, 45(12):46-50, 74. [12].朱杰, 刘在良, 林艳, 等. 随机海浪下船舶横摇运动响应极值预报研究[J]. 中国舰船研究, 2025, 20(2):196-202. [13].LEE J H, LEE J, KIM Y, et al. Prediction of wave- induced ship motions based on integrated neural network system and spatiotemporal wave-field data[J]. Physics of fluids, 2023, 35(9):097127. [14].李林斌, 李洛东, 刘日明. 机器主动学习技术在船舶和海工结构非线性水动力响应长期预报中的应用研究[J]. 船舶力学, 2023, 27(9):1294-1303. [15].LI M W, XU D Y, GENG J, et al. A ship motion forecasting approach based on empirical mode decomposition method hybrid deep learning network and quantum butterfly optimization algorithm[J]. Nonlinear dynamics, 2022, 107(3):2447-2467. [16].彭秀艳, 刘长德. 基于格型递归最小二乘算法的船舶运动极短期预报[J]. 船舶力学, 2012, 16(增刊1):44-51. [17].LU H C, FAN T H, CHEN C H, et al. Pole-residue method for dynamic response analysis of floating structures depending on decoupled Cummins equation[J]. Ocean engineering, 2022, 246:110414. [18].HU S J, YANG W L, LI H J. Signal decomposition and reconstruction using complex exponential models[J]. Mechanical systems and signal processing, 2013, 40(2): 421-438. [19].LU H C, FAN T H, ZHOU L, et al. A rapid response calculation method for symmetrical floating structures based on state–space model solving in hybrid time- Laplace domain[J]. Ocean engineering, 2020, 203:107227. [20].Ogilvie T F. Recent progress toward the understanding and prediction of ship motions[C]//The fifth Symposium on Naval Hydrodynamics, 1964. |
| 备注/Memo: | 收稿日期:2025-08-25 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ 基金项目:国家自然科学基金(52371296) 第一作者:卢洪超,教授,主要研究方向为海洋工程结构动力响应分析。E-mail: luhongchao@cug.edu.cn *通信作者:樊天慧,教授,主要研究方向为海洋浮式结构物水动力性能。E-mail: fanth@scut.edu.cn 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ |