DocumentCode :
2904711
Title :
Adaptive Disturbance Tracking theory with state estimation and state feedback for region II control of large wind turbines
Author :
Balas, Mark J. ; Magar, Kaman S. Thapa ; Frost, Susan A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Wyoming, Laramie, WY, USA
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
2220
Lastpage :
2226
Abstract :
A theory called Adaptive Disturbance Tracking Control (ADTC) is introduced and used to track the Tip Speed Ratio (TSR) of 5 MW Horizontal Axis Wind Turbine (HAWT). Since ADTC theory requires wind speed information, a wind disturbance generator model is combined with lower order plant model to estimate the wind speed as well as partial states of the wind turbine. In this paper, we present a proof of stability and convergence of ADTC theory with lower order estimator and show that the state feedback can be adaptive.
Keywords :
adaptive control; machine control; state estimation; state feedback; wind turbines; ADTC theory; HAWT; TSR; adaptive disturbance tracking control; adaptive disturbance tracking theory; horizontal axis wind turbine; lower order estimator; state estimation; state feedback; tip speed ratio; wind disturbance generator model; wind speed information; wind turbines; Electronic mail; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580165
Filename :
6580165
Link To Document :
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