DocumentCode
630851
Title
Adaptive power acquisition control of variable-speed wind energy conversion systems under inaccurate wind speed measurement
Author
Wenchao Meng ; Qinmin Yang ; You Ying ; Yong Sun ; Youxian Sun
Author_Institution
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
fYear
2013
fDate
17-19 June 2013
Firstpage
4271
Lastpage
4276
Abstract
In this paper, a novel nonlinear adaptive torque controller is proposed for variable-speed wind energy conversion systems to track the maximum power curve. Firstly, the controller is designed for the ideal case where known system parameters are assumed. Then, in the presence of uncertain internal system dynamics, the need for the exact knowledge of the system model is waived by using adaptive technologies. Furthermore, the chattering phenomenon in the generator torque which can result in high mechanical stress is avoided by adopting a modified robust term. Compared with existing methods, no accurate measurement of wind speed is required for the controller design. The control goal is achieved in the sense that the tracking error is guaranteed to converge to an arbitrarily small set. It is theoretically proved that all the signals in the closed-loop system are bounded via Lyapunov synthesis. Finally, the effectiveness and the merit of our proposed controller is shown by simulation on a 1.5MW three-blade wind turbine.
Keywords
Lyapunov methods; adaptive control; closed loop systems; control system synthesis; nonlinear control systems; power control; power generation control; velocity measurement; wind power plants; wind turbines; Lyapunov synthesis; adaptive power acquisition control; adaptive technologies; chattering phenomenon; closed-loop system; controller design; maximum power curve; mechanical stress; nonlinear adaptive torque controller; power 1.5 MW; three-blade wind turbine; tracking error; uncertain internal system dynamics; variable-speed wind energy conversion systems; wind speed measurement; Aerodynamics; Generators; Rotors; Torque; Wind energy; Wind speed; Wind 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.2013.6580496
Filename
6580496
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