Non-Fiction Books:

Blade-Pitch Control for Wind Turbine Load Reductions

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Description

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.

Author Biography:

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.
Release date Australia
March 12th, 2018
Audience
  • Professional & Vocational
Edition
1st ed. 2018
Illustrations
58 Illustrations, black and white; XXVII, 174 p. 58 illus.
Pages
174
ISBN-13
9783319755311
Product ID
27585839

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