[HTML][HTML] Integral sliding mode control for DFIG based WECS with MPPT based on artificial neural network under a real wind profile
Handling the internal parametric variations and the nonlinearities of the high rated wind
energy conversion system (WECS) is remained among the main challenges to maximize the …
energy conversion system (WECS) is remained among the main challenges to maximize the …
Enhancement of direct power control by using artificial neural network for a doubly fed induction generator-based WECS: an experimental validation
Direct power control (DPC) is among the most popular control schemes used in renewable
energy because of its many advantages such as simplicity, ease of execution, and speed of …
energy because of its many advantages such as simplicity, ease of execution, and speed of …
Unlocking the potential: A review of artificial intelligence applications in wind energy
This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …
Early detection and localization of stator inter-turn faults based on discrete wavelet energy ratio and neural networks in induction motor
This paper proposes an improved diagnosis method for early detection and localization of
Inter-Turn Short Circuit (ITSC) faults in the stator winding of the induction motor (IM). The …
Inter-Turn Short Circuit (ITSC) faults in the stator winding of the induction motor (IM). The …
Nonlinear control strategies for enhancing the performance of DFIG-based WECS under a real wind profile
Wind speed variations affect the performance of the wind energy conversion systems
(WECSs) negatively. This paper addressed an advanced law of the backstepping controller …
(WECSs) negatively. This paper addressed an advanced law of the backstepping controller …
Robust nonlinear terminal integral sliding mode torque control for wind turbines considering uncertainties
Power maximization and fatigue alleviation are essential for variable speed wind turbines
operating in partial load zone. It is within this framework that the present paper gives a …
operating in partial load zone. It is within this framework that the present paper gives a …
Comparative study of MPPT controllers for a wind energy conversion system
H Chojaa, A Derouich, Y Bourkhime… - … conference on advanced …, 2021 - Springer
This paper aims to discuss the modeling and control of a wind turbine using the maximum
power point tracking technique (MPPT) based on the Tip Speed Ratio (TSR) method to …
power point tracking technique (MPPT) based on the Tip Speed Ratio (TSR) method to …
Experimental Diagnosis of Broken Rotor Bar Faults in Induction Motors at Low Slip via Hilbert Envelope and Optimized Subtractive Clustering Adaptive Neuro-Fuzzy …
Knowledge of the distinctive frequencies and amplitudes of broken rotor bar (BRB) faults in
the induction motor (IM) is essential for most fault diagnosis methods. Fast Fourier transform …
the induction motor (IM) is essential for most fault diagnosis methods. Fast Fourier transform …
Fuzzy gain scheduling of PI torque controller to capture the maximum power from variable speed wind turbines
SE Chehaidia, A Abderezzak… - 2020 IEEE 2nd …, 2020 - ieeexplore.ieee.org
Wind turbine torque control strategy is commonly used to maximize energy in low wind
speed operating. One of the main limitations of wind turbine control is wind fluctuations, in …
speed operating. One of the main limitations of wind turbine control is wind fluctuations, in …
Integral Backstepping Sliding Mode Control for Maximizing the Power Production of Wind Turbines
Wind turbine control has attracted increasing attention, driven in part by evolving challenges
due to the growing size and complexity of wind turbines. Addressing these challenges and …
due to the growing size and complexity of wind turbines. Addressing these challenges and …