Smart Rotor Modeling

Aero-Servo-Elastic Modeling of a Smart Rotor with Adaptive Trailing Edge Flaps

  • Leonardo┬áBergami

Part of the Research Topics in Wind Energy book series (RTWE, volume 3)

Table of contents

  1. Front Matter
    Pages 1-9
  2. Leonardo Bergami
    Pages 1-5
  3. Leonardo Bergami
    Pages 7-10
  4. Leonardo Bergami
    Pages 11-31
  5. Leonardo Bergami
    Pages 33-79
  6. Leonardo Bergami
    Pages 81-88
  7. Leonardo Bergami
    Pages 139-146
  8. Leonardo Bergami
    Pages 147-149
  9. Back Matter
    Pages 151-156

About this book

Introduction

A smart rotor is a wind turbine rotor that, through a combination of sensors, control units and actuators actively reduces the variation of the aerodynamic loads it has to withstand. Smart rotors feature a promising load alleviation potential, and might provide the technological breakthrough required by the next generation of large wind turbine rotors.

The book presents the aero-servo-elastic model of a smart rotor with Adaptive Trailing Edge Flaps for active load alleviation, and provides an insight on the rotor aerodynamic, structural, and control modeling. A novel model for the unsteady aerodynamics of an airfoil section with flap is presented, and coupled with a multi-body structural representation. A smart rotor configuration is proposed, where the Adaptive Trailing Edge Flaps extend along the outer 20 % of the blade span. Linear Quadratic and Model Predictive algorithms are formulated to control the flap deflection.  The potential of the smart rotor is finally confirmed by simulations in a turbulent wind field. A significant reduction of the fatigue loads on the blades is reported:  the flaps, which cover no more than 1.5 % of the blade surface, reduce the fatigue load by 15 %; a combination of flap and individual pitch control allows for fatigue reductions up to 30 %.

Keywords

Smart Rotor Wind Energy Wind Turbines

Authors and affiliations

  • Leonardo┬áBergami
    • 1
  1. 1.DTU WindDTU WindRoskildeDenmark

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-07365-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Energy
  • Print ISBN 978-3-319-07364-4
  • Online ISBN 978-3-319-07365-1
  • Series Print ISSN 2196-7806
  • Series Online ISSN 2196-7814
  • About this book