DocumentCode :
2940487
Title :
Wind turbine power maximisation based on adaptive sensor fault tolerant sliding mode control
Author :
Sami, Montadher ; Patton, Ron J.
Author_Institution :
Dept. of Eng., Univ. of Hull, Kingston upon Hull, UK
fYear :
2012
fDate :
3-6 July 2012
Firstpage :
1183
Lastpage :
1188
Abstract :
This paper presents a new strategy to robust fault tolerant control (FTC) to optimise the wind energy captured by a wind turbine operating at low wind speeds, using an adaptive gain Sliding Mode Control (SMC). In addition to the inherent robustness of SMC against matched model uncertainty, the proposed method involves a robust descriptor observer design that can provide robust simultaneous estimation of states and the “unknown outputs” (sensor faults and noise) in order to guarantee the robustness of the sliding surface against unknown output effects. Moreover, the sliding surface is designed to achieve the required objectives by utilizing the nonlinear flexible two mass model of the variable speed wind turbine. The proposed FTC SMC method is applied to a 5 MW wind turbine benchmark model.
Keywords :
adaptive control; fault tolerance; gain control; observers; power generation control; robust control; variable structure systems; wind power; wind turbines; FTC SMC method; adaptive gain sliding mode control; adaptive sensor fault tolerant sliding mode control; matched model uncertainty; nonlinear flexible two mass model; power 5 MW; robust descriptor observer design; robust simultaneous states estimation; sliding surface; unknown outputs; variable speed wind turbine; wind turbine benchmark model; wind turbine power maximisation; Aerodynamics; Generators; Observers; Rotors; Torque; Wind speed; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-2530-1
Electronic_ISBN :
978-1-4673-2529-5
Type :
conf
DOI :
10.1109/MED.2012.6265799
Filename :
6265799
Link To Document :
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