Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

remove_circle_outline

Search Results (1)

Search Parameters:
Keywords = LQRI

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
19 pages, 372 KB  
Article
Two LQRI based Blade Pitch Controls for Wind Turbines
by Sungsu Park and Yoonsu Nam
Energies 2012, 5(6), 1998-2016; https://doi.org/10.3390/en5061998 - 20 Jun 2012
Cited by 21 | Viewed by 8538
Abstract
As the wind turbine size has been increasing and their mechanical components are built lighter, the reduction of the structural loads becomes a very important task of wind turbine control in addition to maximum wind power capture. In this paper, we present a [...] Read more.
As the wind turbine size has been increasing and their mechanical components are built lighter, the reduction of the structural loads becomes a very important task of wind turbine control in addition to maximum wind power capture. In this paper, we present a separate set of collective and individual pitch control algorithms. Both pitch control algorithms use the LQR control technique with integral action (LQRI), and utilize Kalman filters to estimate system states and wind speed. Compared to previous works in this area, our pitch control algorithms can control rotor speed and blade bending moments at the same time to improve the trade-off between rotor speed regulation and load reduction, while both collective and individual pitch controls can be designed separately. Simulation results show that the proposed collective and individual pitch controllers achieve very good rotor speed regulation and significant reduction of blade bending moments. Full article
(This article belongs to the Special Issue Wind Turbines)
Show Figures

Figure 1

Back to TopTop