Blade-Pitch Control for Wind Turbine Load Reductions: Springer Theses
Autor Wai Hou (Alan) Lioen Limba Engleză Hardback – 12 mar 2018
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 707.66 lei 43-57 zile | |
Springer International Publishing – 30 ian 2019 | 707.66 lei 43-57 zile | |
Hardback (1) | 713.55 lei 43-57 zile | |
Springer International Publishing – 12 mar 2018 | 713.55 lei 43-57 zile |
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Specificații
ISBN-13: 9783319755311
ISBN-10: 3319755315
Pagini: 190
Ilustrații: XXVII, 174 p. 58 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses
Locul publicării:Cham, Switzerland
ISBN-10: 3319755315
Pagini: 190
Ilustrații: XXVII, 174 p. 58 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Background of Wind Turbine Blade-Pitch Load Reduction Control.- Review of the Related Work.- Performance Similarities between Individual Pitch Control Strategies.- Estimation and Control Design for Tower Motions.- Feed-Forward Model Predictive Control Design based upon a Feedback Controller.- Feed-Forward Model Predictive Control Layer on Wind Turbines.- Conclusions and Future Work.
Notă biografică
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.
Textul de pe ultima copertă
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.
Caracteristici
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