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๐Ÿ“

Blade-Pitch Control for Wind Turbine Load Reductions

โœ Scribed by Wai Hou (Alan) Lio (auth.)


Publisher
Springer International Publishing
Year
2018
Tongue
English
Leaves
193
Series
Springer Theses
Edition
1
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


Front Matter ....Pages i-xxvii
Introduction (Wai Hou (Alan) Lio)....Pages 1-10
Background of Wind Turbine Blade-Pitch Load Reduction Control (Wai Hou (Alan) Lio)....Pages 11-49
Review of the Related Work (Wai Hou (Alan) Lio)....Pages 51-75
Performance Similarities Between Individual Pitch Control Strategies (Wai Hou (Alan) Lio)....Pages 77-99
Estimation and Control Design for Tower Motions (Wai Hou (Alan) Lio)....Pages 101-124
Feed-Forward Model Predictive Control Design Based upon a Feedback Controller (Wai Hou (Alan) Lio)....Pages 125-145
Feed-Forward Model Predictive Control Layer on Wind Turbines (Wai Hou (Alan) Lio)....Pages 147-170
Conclusions and Future Work (Wai Hou (Alan) Lio)....Pages 171-174

โœฆ Subjects


Renewable and Green Energy


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