Springer Theses

Blade-Pitch Control for Wind Turbine Load Reductions

Authors: Lio, Wai Hou (Alan)

  • 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
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-75532-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-75531-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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 wind energy.

About the authors

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

Table of contents (8 chapters)

  • Introduction

    Lio, Wai Hou (Alan)

    Pages 1-10

  • Background of Wind Turbine Blade-Pitch Load Reduction Control

    Lio, Wai Hou (Alan)

    Pages 11-49

  • Review of the Related Work

    Lio, Wai Hou (Alan)

    Pages 51-75

  • Performance Similarities Between Individual Pitch Control Strategies

    Lio, Wai Hou (Alan)

    Pages 77-99

  • Estimation and Control Design for Tower Motions

    Lio, Wai Hou (Alan)

    Pages 101-124

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-75532-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-75531-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Blade-Pitch Control for Wind Turbine Load Reductions
Authors
Series Title
Springer Theses
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-75532-8
DOI
10.1007/978-3-319-75532-8
Hardcover ISBN
978-3-319-75531-1
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XXVII, 174
Number of Illustrations and Tables
58 b/w illustrations
Topics