• DocumentCode
    138434
  • Title

    IMU/LIDAR based positioning of a gangway for maintenance operations on wind farms

  • Author

    Merriaux, P. ; Boutteau, R. ; Vasseur, P. ; Savatier, X.

  • Author_Institution
    IRSEEM (Embedded Electron. Syst. Res. Inst.), France
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    4213
  • Lastpage
    4219
  • Abstract
    This article studies the feasibility of an exteroceptive system for the contactless control of a motion-compensated gangway which can be used for maintenance operations on offshore wind farms. Our study shows that current systems based only on inertial systems are not accurate enough to ensure the gangway is held in place without being secured mechanically. Using measurements from a 2D LIDAR system, we propose a method for the real-time monitoring of the position of the gangway in relation to the offshore wind turbine. Our algorithm involves detecting and estimating the position of the wind turbine pile in a 2D scatter diagram using robust approaches. To evaluate our method, we have installed a real-time 3D simulation chain fed with data from actual measurements. We obtain a measurement accuracy of the order of a centimeter, in real time, in representative sea state scenarios.
  • Keywords
    maintenance engineering; motion control; offshore installations; optical radar; position measurement; wind power plants; wind turbines; 2D LIDAR system; 2D scatter diagram; IMU-LIDAR based positioning; contactless control; exteroceptive system; maintenance operations; motion-compensated gangway; offshore wind farms; offshore wind turbine; position detection; position estimation; real-time 3D simulation chain; real-time position monitoring; wind turbine pile; Atmospheric measurements; Current measurement; Particle measurements; Performance evaluation; Robustness; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/IROS.2014.6943156
  • Filename
    6943156