DocumentCode :
3319336
Title :
Fuzzy sliding mode-based control for PMSG maximum wind energy capture with compensated pitch angle
Author :
Lin, Whei-Min ; Hong, Chih-Ming ; Lee, Ming-Rong ; Huang, Cong-Hui ; Huang, Chung-Chi ; Wu, Bo-Lin
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume :
2
fYear :
2010
fDate :
5-7 May 2010
Firstpage :
397
Lastpage :
400
Abstract :
This paper presents the design of a fuzzy sliding mode loss-minimization control for the speed of a permanent magnet synchronous generator (PMSG) and proportional-integral (PI) for the turbine pitch angle control. The PMSG speed uses maximum power point tracking below the rated speed, which corresponds to low and high wind speed, and the maximum energy can be captured from the wind. A sliding mode controller with an integral-operation switching surface is designed, in which a fuzzy inference mechanism is utilized to estimate the upper bound of uncertainties. Furthermore, the fuzzy inference mechanism with center adaptation is investigated to estimate the optimal bound of uncertainties.
Keywords :
PI control; angular velocity control; fuzzy control; fuzzy reasoning; machine vector control; minimisation; optimal control; permanent magnet generators; position control; synchronous generators; variable structure systems; PI control; PMSG maximum wind energy capture; compensated pitch angle; fuzzy inference mechanism; fuzzy sliding mode loss minimization control; integral-operation switching surface; maximum power point tracking; permanent magnet synchronous generator; proportional-integral control; turbine pitch angle control; Energy capture; Fuzzy control; Inference mechanisms; Permanent magnets; Pi control; Proportional control; Sliding mode control; Synchronous generators; Uncertainty; Wind energy; fuzzy sliding mode control; permanent magnet synchronous generator (PMSG); proportional-integral (PI); wind turbine generator (WTG);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
Type :
conf
DOI :
10.1109/3CA.2010.5533421
Filename :
5533421
Link To Document :
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