Adaptive neuro fuzzy technology to enhance PID performances within VCA for grid-connected wind system under nonlinear behaviors: FPGA hardware …

M Hermassi, S Krim, Y Kraiem, MA Hajjaji - Computers and Electrical …, 2024 - Elsevier
Abstract Wind Energy Conversion Systems (WECSs) exhibit nonlinear behavior due to
internal and external disturbances, which can significantly impact the control performance …

A new sensor-less voltage and frequency control of stand-alone DFIG based dead-beat direct-rotor flux control-experimental validation

MS Chabani, MT Benchouia, A Golea, AY Abdealziz… - ISA transactions, 2024 - Elsevier
The paper presents a new sensor-less voltage and frequency control method for a stand-
alone doubly-fed induction generator (DFIG) feeding an isolated load. The proposed control …

Improved sliding mode control law for wind power systems

Y El Fadili, Y Berrada, I Boumhidi - International Journal of Dynamics and …, 2024 - Springer
This paper develops a new nonlinear control law that outperforms the traditional sliding
mode control law especially the suppression of the chatter phenomenon. This new controller …

Intelligent Controller to Improve Stator Voltage Regulation Performance of a Standalone DFIG: Real-Time Validation

F Boucetta, MT Benchouia, M Bechrif… - … on Advances in …, 2024 - ieeexplore.ieee.org
In this paper, an intelligent controller is proposed to improve the stator voltage magnitude
regulation performance of a wind-driven DFIG feeding local AC loads. Unlike in grid …

[引用][C] Comparative study of real-time stator voltage control in stand-alone doubly fed induction generators using PI, fuzzy logic and neural network approaches

F Boucetta, MT Benchouia, M Bechrif, M Chebani… - Studies in Engineering and …, 2024