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Blade pitch

About: Blade pitch is a research topic. Over the lifetime, 5321 publications have been published within this topic receiving 63134 citations.


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Journal ArticleDOI
TL;DR: A new ANFIS-based method for estimating the effective wind velocity is developed and robust performance of designed controllers against the model uncertainties is investigated.

45 citations

Proceedings ArticleDOI
07 Jan 2008
TL;DR: In this paper, the application of state-space optimal controllers to regulate rotor speed and platform pitch above rated wind speed is discussed, and a gain scheduled PI controller is used as a baseline to gauge the performance of the new controllers developed.
Abstract: The offshore wind energy potential is huge and to capture that energy, turbines have to be placed further offshore. Floating wind turbines offer a solution for deep waters. However, a floating wind turbine has extra motions that will affect the turbine in power production and structural loads. Therefore, the turbine control system has to be able to regulate power production and maintain safe operation of the turbine under incident wind and wave conditions. The work presented here discusses the application of state-space optimal controllers to regulate rotor speed and platform pitch above rated wind speed. A gain scheduled PI controller is used as a baseline to gauge the performance of the new controllers developed. A collective pitch linear quadratic regulator, designed to only regulate rotor speed and platform pitch, improves system performance but this improvement is thought to be due to better controller tuning as both controllers use the same mechanism to restore platform pitch and regulate speed. Individual blade pitch control using periodic control theory is applied because it uses a different mechanism to regulate platform pitch. Preliminary simulation results show that individual blade pitch control has platform pitch regulation over collective pitch controllers. However, unintended excitation of platform roll indicate that a more complicated controller may be required to ensure closed loop stability of the entire floating turbine.

45 citations

Journal ArticleDOI
TL;DR: A multi-layer architecture for the control of variable speed wind turbines, whereby each control layer targets a specific goal.

45 citations

Proceedings ArticleDOI
06 Mar 2005
TL;DR: In this article, control algorithms and implementation issues for a wind turbine simulator are presented for realistic emulation of variable characteristics of wind and rotor blades using a lab-scale motor and generator set.
Abstract: Control algorithms and implementation issues for a wind turbine simulator are presented for realistic emulation of variable characteristics of wind and rotor blades using a lab-scale motor and generator set A randomized wind speed pattern is generated with given average speed and turbulence coefficient Aerodynamic characteristics of rotor blade are considered as a real-time function of rotating speed and wind speed Periodic pulsations of torque are also included as a tower effect In addition, arbitrary size of inertia can be emulated instead of actual rotor blade inertia using the proposed algorithm of electronic inertia compensation Proposed algorithms are verified by the computer simulations and experiments using a hardware-in-loop wind turbine simulator

45 citations

Proceedings ArticleDOI
04 Jun 2001
TL;DR: In this article, a compilation of experimental data on the effects of wake-induced transition on a highly loaded LP turbine cascade intended to be used for further numerical work is presented, and the experimental results constituted in this systematic investigation are available for download and should serve as a basic data set for future calculations with different turbulence and transition models.
Abstract: The paper presents a compilation of experimental data on the effects of wake-induced transition on a highly loaded LP turbine cascade intended to be used for further numerical work. Although the underlying physics is not yet completely understood, the benefits of wake passing are already known and employed in the design process of modern gas turbines. For further optimizations, the next step seems to be now to enable numerical simulations detailed enough to capture the major effects while being as uncomplicated as possible at the same time to be cost-effective. The experimental results constituted in this systematic investigation are available for download and should serve as a basic data set for future calculations with different turbulence and transition models, thereby shedding some light on the complexity and modeling required for a suitable numerical treatment of the wake-induced transition process.The data introduced in this test case was acquired using a turbine cascade called T106D-EIZ with increased blade pitch compared to design point conditions in order to achieve a higher loading. A large separation bubble forms on the suction side and allows to study boundary layer development in great detail. The upstream blade row was simulated by a moving bar type wake generator. The measurements comprise hot wire data of the bar wake characteristics in the cascade inlet plane (velocity deficit and turbulence level), boundary layer surveys with surface-mounted hot films sensors and a hot wire probe at various locations and measurements of the total pressure loss coefficient. Unsteady pressure transducers are embedded into the suction side of a cascade blade and in a wake rake to resolve the local pressure distributions over time. They yield quantitative values easily comparable to the output of numerical simulations.The objective of this paper is to enable and to invite interested researchers to validate their code on the data set. From the extensive test program, a very limited number of operating points have been selected to focus the work. The standardized data files include a “reference” case with an exit Reynolds number of 200.000 and an exit Mach number of 0.4 as well as two points with higher Mach or lower Reynolds number for constant wake passing frequencies and background turbulence levels.Copyright © 2001 by ASME

45 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202377
2022163
202184
2020110
2019105
2018109