Collective pitch sliding mode control for large scale wind turbines considering load reduction

2014 ◽  
Author(s):  
Yaozhen Han ◽  
Xiangjie Liu
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbines ◽  
Large Scale ◽  
Sliding Mode ◽  
Load Reduction ◽  
Mode Control

Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines

2022 ◽  
Vol 20 (2) ◽  
pp. 223-232
Author(s):  
Larbi Djilali ◽  
Anuar Badillo-Olvera ◽  
Yennifer Yuliana Rios ◽  
Harold Lopez-Beltran ◽  
Lakhdar Saihi
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbines ◽  
Sliding Mode ◽  
High Order ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Mode Control ◽  
Doubly Fed

Fractional Sliding Mode Control of Wind Turbines

2019 ◽  
Author(s):  
Aldo Jonathan Munoz-Vazquez ◽  
Gerardo Romero-Galvan ◽  
Carlos Alberto Anguiano-Gijon ◽  
Vicente Parra-Vega ◽  
Anand Sanchez-Orta
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbines ◽  
Sliding Mode ◽  
Mode Control

scholarly journals Quantized Feedback Control Design of Nonlinear Large-Scale Systems via Decentralized Adaptive Integral Sliding Mode Control

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Yan-Mei Xue ◽  
Bo-Chao Zheng ◽  
Dan Ye
Keyword(s):  
Sliding Mode Control ◽  
Large Scale ◽  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Linear Matrix ◽  
Control Law ◽  
Large Scale Systems ◽  
Integral Sliding Mode Control ◽  
Integral Sliding Mode ◽  
Mode Control

A novel decentralized adaptive integral sliding mode control law is proposed for a class of nonlinear uncertain large-scale systems subject to quantization mismatch between quantizer sensitivity parameters. Firstly, by applying linear matrix inequality techniques, integral-type sliding surface functions are derived for ensuring the stability of the whole sliding mode dynamics and obtaining the prescribed boundedL2gain performance. Secondly, the decentralized adaptive sliding mode control law is developed to ensure the reachability of the sliding manifolds in the presence of quantization mismatch, interconnected model uncertainties, and external disturbances. Finally, an example is shown to verify the validity of theoretical results.

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