DocumentCode :
666303
Title :
UDE-based robust control of variable-speed wind turbines
Author :
Beibei Ren ; Qing-Chang Zhong
Author_Institution :
Dept. of Mech. Eng., Texas Tech Univ., Lubbock, TX, USA
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
3818
Lastpage :
3823
Abstract :
In this paper, the UDE (uncertainty and disturbance estimator)-based robust control is investigated for a two-bladed horizontal axis variable speed wind turbine in the presence of model uncertainties and external disturbances. The UDE algorithm is based on the assumption that a signal can be approximated and estimated by using a filter with the appropriate bandwidth. The most important features of the approach are that (i) the employment of UDE makes it possible to estimate the lumped uncertain term which is non-singular with respect to the system state !r and bounded with respect to the time t; and (ii) it does not require any knowledge (e.g., bounds) about the uncertainties and disturbances, except the information about the bandwidth, during the design process. The asymptotic stability of the closed-loop system is rigorously established and the rotor speed asymptotically tracks a reference speed that maximizes the energy captured by adjusting the armature current of the DC generator. The effectiveness of the proposed approach is demonstrated through simulation studies.
Keywords :
DC generators; asymptotic stability; closed loop systems; control system synthesis; power generation control; robust control; rotors; uncertain systems; wind turbines; UDE-based robust control; armature current; asymptotic stability; closed-loop system; dc generator; design process; external disturbances; lumped uncertain term; reference speed; rotor speed; two-bladed horizontal axis variable speed wind turbine; uncertainty and disturbance estimator; Asymptotic stability; Bandwidth; Robust control; Rotors; Uncertainty; Wind power generation; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699744
Filename :
6699744
Link To Document :
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