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Blade-Pitch Control for Wind Turbine Load Reductions

  • Book
  • © 2018

Overview

Authors:
  1. Wai Hou (Alan) Lio

    1. Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark

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  • Nominated as an outstanding PhD thesis by the University of Sheffield
  • Studies the key similarities between various classes of current blade-pitch control strategies
  • Proposes a novel model predictive control layer in the control architecture that enables an existing controller to incorporate the upcoming wind information and constraint-handling features

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xxvii
    Download chapter PDF

  2. Introduction

    • Wai Hou (Alan) Lio
    Pages 1-10

  3. Background of Wind Turbine Blade-Pitch Load Reduction Control

    • Wai Hou (Alan) Lio
    Pages 11-49

  4. Review of the Related Work

    • Wai Hou (Alan) Lio
    Pages 51-75

  5. Performance Similarities Between Individual Pitch Control Strategies

    • Wai Hou (Alan) Lio
    Pages 77-99

  6. Estimation and Control Design for Tower Motions

    • Wai Hou (Alan) Lio
    Pages 101-124

  7. Feed-Forward Model Predictive Control Design Based upon a Feedback Controller

    • Wai Hou (Alan) Lio
    Pages 125-145

  8. Feed-Forward Model Predictive Control Layer on Wind Turbines

    • Wai Hou (Alan) Lio
    Pages 147-170

  9. Conclusions and Future Work

    • Wai Hou (Alan) Lio
    Pages 171-174
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Keywords

About this book

This thesis investigates the use of blade-pitch control and real-time wind measurements to reduce the structural loads on the rotors and blades of wind turbines. The first part of the thesis studies the main similarities between the various classes of current blade-pitch control strategies, which have to date remained overlooked by mainstream literature. It also investigates the feasibility of an estimator design that extracts the turbine tower motion signal from the blade load measurements. In turn, the second part of the thesis proposes a novel model predictive control layer in the control architecture that enables an existing controller to incorporate the upcoming wind information and constraint-handling features. This thesis provides essential clarifications of and systematic design guidelines for these topics, which can benefit the design of wind turbines and, it is hoped, inspire the development of more innovative mechanical load-reduction solutions in the field of windenergy.

Authors and Affiliations

  • Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark

    Wai Hou (Alan) Lio

About the author

Dr Wai Hou (Alan) Lio was born in Macau in 1989. He received his M.Eng in
Electrical and Electronic Engineering from Imperial College London in 2012, and his
Ph.D. in Automatic Control and Systems Engineering from the University of Sheffield
in 2017. He is currently with Department of Wind Energy at Technical University of
Denmark. His main research interests include model predictive control, mathematical
optimisation and state estimation, with applications in wind energy conversion systems
and wind farms.

Bibliographic Information

  • Book Title: Blade-Pitch Control for Wind Turbine Load Reductions

  • Authors: Wai Hou (Alan) Lio

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-319-75532-8

  • Publisher: Springer Cham

  • eBook Packages: Energy, Energy (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Hardcover ISBN: 978-3-319-75531-1Published: 12 March 2018

  • Softcover ISBN: 978-3-030-09257-3Published: 30 January 2019

  • eBook ISBN: 978-3-319-75532-8Published: 01 March 2018

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XXVII, 174

  • Number of Illustrations: 58 b/w illustrations

  • Topics: Renewable and Green Energy, Control and Systems Theory, Mechanical Engineering

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