Lagrange interpolating polynomial–based deloading control scheme for variable speed wind turbines

2019 ◽  
Vol 29 (5) ◽  
pp. e2824
Author(s):  
Manoj Kumar Senapati ◽  
Chittaranjan Pradhan ◽  
Paresh Kumar Nayak ◽  
Subhransu Ranjan Samantaray
2016 ◽  
Vol 28 (6) ◽  
pp. 921-927
Author(s):  
Yan Ren ◽  
◽  
Chuanli Gong ◽  
Dekuan Wang ◽  
Dianwei Qian ◽  
...  

[abstFig src='/00280006/16.jpg' width='300' text='Schematic of a wind turbine' ] Concerning variable speed wind turbines, this study suggests a control scheme that combines integral sliding mode control (I-SMC) and fuzzy logic. The control task is to maintain the output power at the rated value for variable operating points. Wind turbines suffer from serious nonlinearities that challenge the control task. To attack the issue, the nonlinear turbine model is linearized at some typical operating points. Then, pitch-angle and generator-torque controllers based on the linearized turbine models are formulated by the I-SMC approach. Meanwhile, a fuzzy inference system is designed to weight those controllers. Not only the scheme can stabilize nonlinear wind turbines, but also the control system is robust to resist wind-speed variations. Some results are presented to show the performance of the control scheme.


2010 ◽  
Vol 130 (11) ◽  
pp. 1002-1009 ◽  
Author(s):  
Jorge Morel ◽  
Hassan Bevrani ◽  
Teruhiko Ishii ◽  
Takashi Hiyama

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