Nonlinear Control of Variable Speed Wind Turbines without wind speed measurement

2006 ◽  
Author(s):  
B. Boukhezzar ◽  
H. Siguerdidjane
Keyword(s):  
Wind Speed ◽  
Nonlinear Control ◽  
Wind Turbines ◽  
Variable Speed ◽  
Speed Measurement ◽  
Wind Speed Measurement

Determination of rated wind speed for maximum annual energy production of variable speed wind turbines

2017 ◽  
Vol 205 ◽  
pp. 781-789 ◽  
Author(s):  
Ahmad Sedaghat ◽  
Arash Hassanzadeh ◽  
Jamaloddin Jamali ◽  
Ali Mostafaeipour ◽  
Wei-Hsin Chen
Keyword(s):  
Wind Speed ◽  
Wind Turbines ◽  
Energy Production ◽  
Variable Speed

Determining permissible Doppler lidar beam deviation angles in wind speed measurement

1991 ◽  
Vol 34 (9) ◽  
pp. 906-911
Author(s):  
A. A. Kormakov ◽  
L. A. Kosovskii ◽  
N. V. Pakhomushkina ◽  
G. A. Pogosov
Keyword(s):  
Wind Speed ◽  
Doppler Lidar ◽  
Speed Measurement ◽  
Wind Speed Measurement

scholarly journals Hierarchical Pitch Control for Small Wind Turbines Based on Fuzzy Logic and Anticipated Wind Speed Measurement

2020 ◽  
Vol 10 (13) ◽  
pp. 4592 ◽  
Author(s):  
Ernesto Chavero-Navarrete ◽  
Mario Trejo-Perea ◽  
Juan Carlos Jáuregui-Correa ◽  
Roberto Valentín Carrillo-Serrano ◽  
Guillermo Ronquillo-Lomeli ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbines ◽  
Fuzzy Logic Controller ◽  
Horizontal Axis Wind Turbine ◽  
Wind Variability ◽  
Speed Measurement ◽  
Small Wind Turbines ◽  
Difficult Terrain ◽  
Wind Speed Measurement ◽  
Complicated Task

Bringing electricity to areas of difficult terrain is a complicated task, so it is convenient to generate power using local natural resources, such as wind, through a small horizontal-axis wind turbine (S-HAWT). However, at the rotor height of these wind turbines, the wind is often turbulent due to obstacles such as trees and buildings. For a turbine to function properly in these conditions, the action of the wind force on the rotor must be smoothed out by controlling the pitch angle. A commercial derivative-integral-proportional (PID)-type pitch controller works well when system dynamics are stable, but not when there are disturbances in the system. This paper proposes a hierarchical fuzzy logic controller (HFLC) to solve the nonlinear system effects produced by atypical winds. The methodology includes a statistical analysis of wind variability at the installation site, which determines the functions of belonging and its hierarchy. In addition, installing an anemometer in front of the turbine allows an advanced positioning of the blades in the presence of wind gusts. The algorithm was implemented in an S-HAWT, and a comparison was made to quantify the performance difference between the proposed control strategy and a conventional PID controller.

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