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Blade-Pitch Control for Wind Turbine Load Reductions (Hardcover, 1st ed. 2018) Loot Price: R4,001
Discovery Miles 40 010
Blade-Pitch Control for Wind Turbine Load Reductions (Hardcover, 1st ed. 2018): Wai Hou (Alan) Lio

Blade-Pitch Control for Wind Turbine Load Reductions (Hardcover, 1st ed. 2018)

Wai Hou (Alan) Lio

Series: Springer Theses

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Loot Price R4,001 Discovery Miles 40 010 | Repayment Terms: R375 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: March 2018
First published: 2018
Authors: Wai Hou (Alan) Lio
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 174
Edition: 1st ed. 2018
ISBN-13: 978-3-319-75531-1
Categories: Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN: 3-319-75531-5
Barcode: 9783319755311

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