DocumentCode :
184307
Title :
Lidar-assisted wind turbine feedforward torque controller design below rated
Author :
Na Wang ; Johnson, Kathryn E. ; Wright, Alan D. ; Carcangiu, Carlo E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Colorado Sch. of Mines, Golden, CO, USA
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
3728
Lastpage :
3733
Abstract :
Two below-rated feedforward torque control strategies are investigated for a megawatt-scale commercial turbine to regulate rotor speed and reduce turbine structural loads. The investigated regime for this research is the transition region when the turbine is operating just below rated wind speed. In this transition region, the rotor speed has reached its rated value but the generator torque has not. The first of the two controllers designed is a nonlinear feedforward controller that is based on aerodynamic torque balance computed from a light detection and ranging (lidar) measurement and a feedback power measurement from the turbine. A linear disturbance accommodating control (DAC) based torque controller has also been adapted and compared with the nonlinear control strategy. This DAC depends only on the lidar feedforward measurement without using feedback measurement from the turbine. The controllers are verified with a nonlinear FAST turbine model and turbulent wind fields.
Keywords :
feedforward; nonlinear control systems; optical radar; rotors; torque control; wind turbines; aerodynamic torque balance; below-rated feedforward torque control strategies; feedback power measurement; generator torque; lidar feedforward measurement; light detection and ranging measurement; linear DAC; linear disturbance accommodating control; megawatt-scale commercial turbine; nonlinear FAST turbine model; nonlinear control strategy; nonlinear feedforward controller; rotor speed; turbine structural loads; turbulent wind fields; wind turbine feedforward torque controller; Feedforward neural networks; Laser radar; Poles and towers; Rotors; Torque; Wind speed; Wind turbines; Control applications; Power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6859039
Filename :
6859039
Link To Document :
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