The rapid development of artificial intelligence (AI) has created new opportunities for improving the performance, robustness, and efficiency of electrical machine drive systems. Among AI-based approaches, fuzzy logic control (FLC) has attracted considerable attention because of its ability to handle nonlinear dynamics...
Habib Benbouhenni, N. Bizon, A. Tulbure· Energies· 0 citations
This paper proposes a novel genetic algorithm‐based proportional–integral super‐twisting sliding mode control (GA‐PI‐ST‐SMC) strategy for the rotor‐side converter of a 1.5 MW doubly‐fed induction generator (DFIG) operating in marine renewable wind turbine (MRWT) systems. The proposed approach integrates the strong ro...
Habib Benbouhenni, N. Bizon, Z. Elbarbary et al.· Wind Energy· 0 citations
Digital-twin (DT) technology has evolved into a fundamental paradigm for integrating physical assets, processes, and systems with their dynamic digital counterparts, enabling real-time monitoring, simulation, prediction, optimization, and intelligent decision-making. This study presents a systematic review of 230 peer-...
This study proposes a hybrid ant colony optimization–backstepping control (ACO-BC) strategy for a multi-machine wind energy conversion system based on five-phase permanent magnet synchronous generators (PMSGs). The proposed strategy is developed to enhance the dynamic response, power regulation, robustness, and power q...
This paper presents an experimental investigation of a dual-inverter induction motor (IM) drive system for zero-sequence circulating current (ZSCC) suppression using a novel hybrid PI–SO-SMC strategy. The proposed method combines a proportional–integral (PI) regulator and a second-order sliding mode controller (SO-SMC)...
Elyazid Zaidi, Habib Benbouhenni, A. Mabrek et al.· Electronics· 0 citations
Efficient maximum power extraction in variable-speed wind energy conversion systems (WECSs) remains challenging because of nonlinear turbine dynamics, continuously varying wind conditions, measurement disturbances, and mechanical-parameter uncertainties. This study presents a robust nonlinear integral backstepping cont...
Abdelkrim Adila, Khedidja Kendouci, N. Bouchetata et al.· Technologies· 0 citations
This paper proposes XEAD-AgriSec, an eXplainable Edge Anomaly Detection framework that protects the physical sensor layer of agricultural IoT systems through a fog-computing-centric architecture and integrates SHapley Additive exPlanations and Local Interpretable Model-agnostic Explanations to produce agricultural-doma...
Yassine Boukhali, S. Drǎguşin, N. Bizon et al.· IEEE Access· 0 citations
The rapid growth of renewable energy sources, particularly solar and wind power, has increased the demand for efficient and reliable battery energy storage systems (BESSs) to address intermittency, enhance grid stability, and improve energy management. In recent years, artificial intelligence (AI) has emerged as a tran...
Habib Benbouhenni, N. Bizon· Batteries· 0 citations
Maintaining frequency stability in islanded microgrids (MGs) has become increasingly challenging due to the growing penetration of renewable energy sources, particularly photovoltaic systems, wind turbine generators (WTGs), and plug-in hybrid electric vehicles (PHEVs). The intermittent nature of renewable generation an...
B. Alouache, M. Helaimi, Habib Benbouhenni et al.· Electronics· 0 citations
Early and reliable diagnosis of inter-turn short-circuit (ITSC) faults is critical to maintaining the reliability, availability, and safe operation of doubly fed induction generators (DFIGs) used in wind energy conversion systems (WECSs). Incipient winding faults are particularly challenging to identify because their e...
M. Abid, S. Laribi, M'hamed Larbi et al.· Algorithms· 0 citations
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