• DocumentCode
    574205
  • Title

    An integrated approach towards structural and LPV controller design in wind turbines

  • Author

    Shirazi, Farzad A. ; Grigoriadis, Karlos M. ; Viassolo, D.

  • Author_Institution
    Mech. Eng. Dept., Univ. of Houston, Houston, TX, USA
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    5789
  • Lastpage
    5794
  • Abstract
    An iterative redesign algorithm is proposed to integrate the design of the structural parameters and a linear parameter varying (LPV) controller for a wind turbine. The LPV controller is designed for a lumped model of the wind turbine with five degrees-of-freedom consisting of blades, drivetrain and the tower. The controller is scheduled in real-time based on the mean wind speed. The controller objective is to track an optimal power generation trajectory and minimize the H performance index from the wind turbulence disturbance to the controlled output vector. The solution of the problem is formulated as an iterative sequential controller/structure redesign to obtain the values corresponding to a local optimal performance index. Each step of the iterative procedure is formulated as a linear matrix inequality (LMI) optimization problem that can be solved efficiently using available LMI solvers. The simulation results show the effectiveness of the algorithm in converging to a local optimal solution and improving the overall performance of the system in FAST closed-loop responses via the integrated design.
  • Keywords
    H control; closed loop systems; iterative methods; linear matrix inequalities; linear systems; optimisation; power generation control; scheduling; turbulence; wind turbines; FAST closed-loop response; H performance index minimization; LMI optimization problem; LPV controller design; blades; drivetrain; five degrees-of-freedom; integrated approach; iterative redesign algorithm; iterative sequential controller; linear matrix inequality optimization problem; linear parameter varying controller; local optimal performance index; lumped model; mean wind speed; optimal power generation trajectory tracking; real-time scheduling; structural controller design; tower; wind turbines; wind turbulence disturbance; Aerodynamics; Blades; Generators; Mathematical model; Poles and towers; Vectors; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6314789
  • Filename
    6314789