Wind Turbine Blade Deflection Sensing System Based on UWB Technology

被引：0
|
作者：
Franek, O. [1 ]
Zhang, S. [1 ]
Jensen, T. L. [2 ]
Eggers, P. C. F. [1 ]
Olesen, K. [1 ]
Byskov, C. [3 ]
Pedersen, G. F. [1 ]
机构：
[1] Aalborg Univ, Fac Sci & Engn, Dept Elect Syst, APNet Sect, Niels Jernes Vej 12, DK-9220 Aalborg O, Denmark
[2] Aalborg Univ, Fac Sci & Engn, Dept Elect Syst, SIP Sect, Fredrik Bajers Vej 7, DK-9220 Aalborg O, Denmark
[3] LM Wind Power, Jupitervej 6, DK-6000 Kolding, Denmark
来源：
PROCEEDINGS OF THE 2016 IEEE-APS TOPICAL CONFERENCE ON ANTENNAS AND PROPAGATION IN WIRELESS COMMUNICATIONS (APWC) | 2016年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A microwave sensing system for estimating deflection of a wind turbine blade is presented. The system measures distances at two ultrawideband (LAVB) wireless links between one antenna at the tip and two antennas at the root of the blade, which allows for determination of the tip position by triangulation. An experimental setup with corner reflector antenna mounted at the tip and horn antennas at the root of a 37.3 m long blade is described. Analyzing the data from the experiment, special attention is given to the propagation aspects of the ILAVB links, with focus on the multipath effects caused by the blade. It is demonstrated that despite the adverse effects of the multipath propagation the ranging accuracy of the system amounts to 1.5 cm, leading to maximum error of deflection 4.5 %.
引用
收藏
页码：260 / 263
页数：4
相关论文
共 50 条
  • [21] Modeling of a Wind Turbine Rotor Blade System
    Ju, Dayuan
    Sun, Qiao
    JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 2017, 139 (05):
  • [22] Aerodynamic modelling of wind turbine blade loads during extreme deflection events
    Harrison, Matthew
    Kloosterman, Menno
    Urbano, Ricard Buils
    SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018), 2018, 1037
  • [23] Quantitative detection of multiple damages in wind turbine blade based on the operating deflection shape and natural frequencies
    Jiang, Hu
    Jiang, Yongying
    Xiang, Jiawei
    OCEAN ENGINEERING, 2023, 278
  • [24] Structural Health Monitoring of Wind Turbine Blade using Piezoceremic Based Active Sensing and Impedance Sensing
    Ruan, Jiabiao
    Ho, Siu Chun Michael
    Patil, Devendra
    Song, Gangbing
    2014 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2014, : 661 - 666
  • [25] Design of a composite wind turbine blade manufactured with the ONE SHOT BLADE® technology
    Damiano, Michele
    Russo, Angela
    Sellitto, Andrea
    Vecchio, Enrico
    Stellato, Tommaso
    Riccio, Aniello
    MATERIALS TODAY-PROCEEDINGS, 2021, 34 : 103 - 105
  • [26] Conductive Polymer-based TDR Sensing Ice Accretion for Wind Turbine Blade
    Gao, Quan
    Kelley, Maire
    Yu, Xiong
    STRUCTURAL HEALTH MONITORING 2015: SYSTEM RELIABILITY FOR VERIFICATION AND IMPLEMENTATION, VOLS. 1 AND 2, 2015, : 286 - 293
  • [27] Feasibility study on a strain based deflection monitoring system for wind turbine blades
    Lee, Kyunghyun
    Aihara, Aya
    Puntsagdash, Ganbayar
    Kawaguchi, Takayuki
    Sakamoto, Hiraku
    Okuma, Masaaki
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 82 : 117 - 129
  • [28] DEVELOPMENT OF A DEFLECTION MONITORING SYSTEM FOR WIND TURBINE BLADES
    Okuma, M.
    7TH IOMAC: INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE, 2017, : 39 - 47
  • [29] Study on Wind Turbine Blade Design Method and Modeling Technology
    Tang, Wenxian
    Cheng, Cheng
    Cai, Yundi
    Wang, Fei
    COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION, PTS 1-2, 2011, 88-89 : 549 - +
  • [30] Research on Surface Defect Detection Technology of Wind Turbine Blade Based on UAV Image
    TAN Xingguo
    ZHANG Gaoming
    Instrumentation, 2022, 9 (01) : 41 - 48
12345