Wind Energy Conversion System Controlled by Particle Swarm Optimization Super Twisting Sliding Mode Control Equipped with Doubly Fed Induction Generator

2021 ◽  
pp. 78-87
Author(s):  
H. Gasmi ◽  
S. Mendaci ◽  
W. Kantas
Keyword(s):  
Particle Swarm Optimization ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Induction Generator ◽  
Swarm Optimization ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System ◽  
Doubly Fed

scholarly journals Comparative study between fast terminal and second order sliding mode controls applied to a wind energy conversion system

2021 ◽  
Vol 22 (2) ◽  
pp. 765
Author(s):  
Touati Abdelwahed ◽  
Majdoul Radouane ◽  
Taouni Abderrahim ◽  
Mohamed Aboulfatah ◽  
Rabbah Nabila
Keyword(s):  
Sliding Mode Control ◽  
Comparative Study ◽  
Energy Conversion ◽  
Sliding Mode ◽  
Induction Generator ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System ◽  
Second Order Sliding Mode

A he wind energy conversion system (WECS) consists of many subsystems, which present control difficulties due to the strong nonlinearities of the models and the effects of internal or external disturbances. In this work, the WECS is based on a doubly feed induction generator (DFIG) directly connected to the stator side network and interconnected via a power converter on the rotor side. The aim of the control strategy is to achieve regular regulation of the powers supplied by the generator and to produce energy of better quality. in order to improve the dynamic behavior of the doubly fed induction generator (DFIG); a comparative study is presented between two advanced control strategies; the second order sliding mode control and the FTSMC fast terminal sliding mode control. The proposed advanced tracking controller is synthesized based on the Lyapunov stability theory and guarantees the existence of the sliding mode around the sliding surface in a finite time. The analysis of the simulation results under the Matlab/Simulink environment confirms the effectiveness of the proposed methods through the performances obtained.

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