一种基于状态空间模型的结构振动模态轨迹提取方法

摘要
图/表
参考文献(14)
相关文章 (1)

全文: PDF (2213 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要海上风电结构在运行过程中由于受到复杂的海洋环境作用，不可避免地会发生机械故障。而风机结构模态轨迹包含了丰富的结构运行状态信息，是判断海上风电结构是否发生故障的重要技术手段。但是在真实的海洋环境中很难找到固定的参考点测量结构的位移信息，而直接对加速度积分会导致得到的位移信息产生虚假漂移。该研究发展了一种基于低阶状态空间模型的海上风电结构模态轨迹计算方法，首先通过复指数分解方法对实测的加速度信号进行分解，通过引入低阶状态空间模型将计算中的高阶微分方程转化为低阶矩阵微分方程，克服了传统复指数分解方法对噪声敏感的病态问题，极大地提升了分解精度，然后通过求解得到的复指数参数得到位移中的模态信息，实现海上风电结构的运动监测。该研究首先通过五自由度数值模型验证了提出方法的正确性，并通过单桩海上风电结构的实测数据验证了算法在处理实测信号的有效性。结果表明所提出的方法可以为海上风电结构的模态轨迹计算提供理论指导，具有潜在的工程应用价值。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	周胡
	钱忠文
	王滨2
	高树健
	刘福顺

关键词 ：模态轨迹, 复指数分解, 低阶状态空间模型, 海上风电结构

Abstract：During the operation of offshore wind turbines, due to the complex marine environment, mechanical failure is inevitable.The modal trajectory of the offshore wind turbine contains a wealth of information on the operation status of the structure, and is an important index to determine whether the structure has failed.A method was developed for calculating the modal trajectory of the offshore wind turbine based on a low-order state space model, and the motion monitoring of the modal trajectory was implemented.To investigate the performance of the proposed method, two examples were introduced.First, a numerical model with five-degree-of-freedom was used to verify the correctness of the proposed method.And then, the measured data of a monopile offshore wind turbine was used to investigate the effectiveness of the proposed method in processing actual signals.The results show that the proposed method can provide theoretical guidance for calculating the modal trajectory of offshore wind turbines, and has potential engineering application values.

Key words： modal trajectory complex exponential decomposition low-order state space model offshore wind turbine

收稿日期: 2020-05-06 出版日期: 2021-09-28

引用本文:

周胡，钱忠文，王滨2，高树健，刘福顺. 一种基于状态空间模型的结构振动模态轨迹提取方法[J]. 振动与冲击, 2021, 40(18): 197-203.
ZHOU Hu,QIAN Zhongwen,WANG Bin,GAO Shujian,LIU Fushun. Method for extracting the modal trajectory of structural vibration based on a state space model. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(18): 197-203.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2021/V40/I18/197

［1］GAO Z, MOAN T, WAN L, et al.Comparative numerical and experimental study of two combined wind and wave energy concepts ［J］.Journal of Ocean Engineering and Science, 2016, 1(1): 36-51.

［2］项春, 周敏.采用多通道数字滤波器的轴心轨迹提纯［J］.水力发电，2007，33（3）：60-62.
XIANG Chun, ZHOU Min.Purification of rotor center’s orbit with multichannel digital signal filters ［J］.Water Power，2007，33（3）：60-62.

［3］卢荣军，高伟.风机转子轴心轨迹的经验模态分解滤波与提纯［J］.风机技术，2010，5：73-76.
LU Rongjun, GAO Wei.Method of experience mode decomposition, filtering and extracting of axis track of fan rotor［J］.Compressor Blower ＆ Fan Technology, 2010，5：73-76.

［4］李欣，史丽萍，郭攀锋，等.基于轴心轨迹椭圆面积的风机故障诊断方法及应用［J］.煤矿机械，2010，31（12）：207-208.
LI Xin, SHI Liping, GUO Panfeng, et al.Fan fault diagnosis method based on axis orbit area and application ［J］.Coal Mine Machinery, 2010，31（12）：207-208.

［5］翁桂荣.基于数学形态学的轴心轨迹滤波提纯法［J］.苏州大学学报，2007，27（4）：39-41.
WENG Guirong.Purification of shaft orbit with mathematical morphology filters ［J］.Journal of Soochow University, 2007，27（4）：39-41.

［6］包兴先，刘福顺，李华军，等.复指数方法降噪技术及其实验研究［J］.中国海洋大学学报（自然科学版），2011，41（1）：155-160.
BAO Xingxian, LIU Fushun, LI Huajun et al.The complex exponential method based on signal-noise separation for modal analysis ［J］.Periodical of Ocean University of China, 2011，41（1）：155-160.

［7］包兴先.基于模型定阶和信号消噪的海洋平台结构模态参数识别研究［D］.青岛：中国海洋大学，2010.

［8］HU S L J, YANG W L, LI H J.Signal decomposition and reconstruction using complex exponential models ［J］.Mechanical System and Signal Processing, 2013, 40(2): 421-438.

［9］HAN H Z, WANG J, MENG X L.Analysis of the dynamic response of a long span bridge using GP-S/accelerometer/anemometer under typhoon loading ［J］.Engineering Structures, 2016, 122: 238-250.

［10］JAIME D C, DAMARI A L, JESU＇S V G.Effect of noise on the assessment of displacements computed from accelerations recorded at linear and nonlinear civil engineering structures ［J］.Measurement, 2019, 136: 724-734.

［11］OZDAGLI A I, LIU B, MOREU F.Low-cost, efficient wireless intelligent sensors (LEWIS) measuring real-time reference-free dynamic displacements ［J］.Mechanical System and Signal Processing, 2018, 107: 343-356.

［12］HAMMING R W.Digital filters［M］.3rd ed.Englewood Cliffs: Prentice-Hall, 1989.

［13］TRIFUNAC M D, LEE V M.Routine computer processing of strong-motion accelerograms ［D］.Pasadena: California Institute of Technology, 1973.

［14］WANG R, SCHURR B, MILKEREIT C.An improved automatic scheme for empirical baseline correction of digital strong-motion records ［J］.Bulletin of the Seismological Society of America, 2011, 101(5): 2029-2044.