DocumentCode
3217732
Title
PMSG maximum wind power tracking control based on T-S fuzzy method
Author
An, Aimin ; Guoqiang Yang ; Haochen Zhang ; Peidong Du
Author_Institution
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
fYear
2015
fDate
23-25 May 2015
Firstpage
2844
Lastpage
2849
Abstract
A novel control strategy for capturing maximum wind energy under multi-operating condition based on T-S fuzzy model method is proposed in this paper. Firstly, the T-S fuzzy model of the permanent magnet synchronous wind power generator (PMSG) is constructed under multi-operating condition. The state observer is designed for estimating the states accurately with considering the random wind disturbances existence. Meanwhile, the Lyapunov stability theory and the parallel distributed compensation(PDC) strategy are used to track maximum wind power steadily in real time. The gain of the proposed controller and state observer are solved through linear matrix inequality(LMI) method. The simulation results demonstrated that the performance of the proposed control strategy is significantly better than PI method, and the maximum wind power tracking can be reached effectively.
Keywords
Lyapunov methods; PI control; compensation; fuzzy control; linear matrix inequalities; permanent magnet generators; permanent magnet motors; power generation control; synchronous motors; wind power plants; LMI method; Lyapunov stability theory; PDC strategy; PI method; PMSG maximum wind power tracking control strategy; T-S fuzzy model method; linear matrix inequality method; maximum wind energy capturing; multioperating condition; parallel distributed compensation strategy; permanent magnet synchronous wind power generator; random wind disturbances; state estimation; state observer; state observer design; Mathematical model; Observers; Permanent magnets; Wind energy; Wind power generation; Wind speed; Wind turbines; Lyapunov stability theory; Maximum wind power tracking; Parallel distributed compensation strategy; Permanent magnet synchronous generator; T-S fuzzy model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162412
Filename
7162412
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