A novel nature-inspired maximum power point tracking (MPPT) controller based on ACO-ANN algorithm for photovoltaic (PV) system fed arc welding machines

B Babes, A Boutaghane, N Hamouda - Neural Computing and …, 2022 - Springer
In this paper, a metaheuristic optimized multilayer feed‐forward artificial neural network
(ANN) controller is proposed to extract the maximum power from available solar energy for a …

Fractional-fuzzy PID control approach of photovoltaic-wire feeder system (PV-WFS): Simulation and HIL-based experimental investigation

B Babes, F Albalawi, N Hamouda, S Kahla… - IEEE …, 2021 - ieeexplore.ieee.org
The utilization of solar photovoltaic (PV) generator as a power source for wire feeder
systems (WFSs) of arc welding machines is one of the promising domains in solar PV …

ANFIS controller design using PSO algorithm for MPPT of solar PV system powered brushless DC motor based wire feeder unit

N Hamouda, B Babes, S Kahla… - 2020 International …, 2020 - ieeexplore.ieee.org
In this study an improved control scheme for autonomous photovoltaic (PV) generator fed
wire feeder unit (WFU) of arc welding machine using a brushless DC (BLDC) motor is …

Experimental investigation of an adaptive fuzzy-neural fast terminal synergetic controller for buck DC/DC converters

B Babes, N Hamouda, F Albalawi, O Aissa… - Sustainability, 2022 - mdpi.com
This study proposes a way of designing a reliable voltage controller for buck DC/DC
converter in which the terminal attractor approach is combined with an enhanced reaching …

Experimental evaluation of DC-DC buck converter based on adaptive fuzzy fast terminal synergetic controller

Z Anane, B Babes, N Hamouda, OF Benaouda… - Scientific Reports, 2025 - nature.com
This study suggests an enhanced version of the adaptive fuzzy fast terminal synergetic
controller (AF-FTSC) for controlling the uncertain DC/DC buck converter based on the …

Design and real-time implementation of an adaptive fast terminal synergetic controller based on dual RBF neural networks for voltage control of DC–DC step-down …

B Babes, A Boutaghane, N Hamouda - Electrical engineering, 2022 - Springer
In this study, an improved Adaptive Fast Terminal Synergetic Controller (AFTSC) using Dual
Radial Basis Function (RBF) Neural Networks (NNs) for output voltage control of an …

[PDF][PDF] Particle swarm optimization of fuzzy fractional PDµ+ I controller of a PMDC motor for reliable operation of wire-feeder units of GMAW welding machine

N Hamouda, B Babes, S Kahla… - Przegląd …, 2020 - researchgate.net
In this article, we consider the development of an optimal control approach based on fuzzy
fractional PDµ+ I controller to improve the speed error-tracking and control capability of a …

[PDF][PDF] New optimal control of permanent magnet DC motor for photovoltaic wire feeder systems

B Babes, A Boutaghane, N Hamouda… - Journal Européen des …, 2020 - academia.edu
Accepted: 12 November 2020 This article aims to improve the permanent magnet DC
(PMDC) motor performance for photovoltaic (PV) wire-feeder systems (PVWFSs) of arc …

An RBF neural network–based parameter tuning for an ADRC regulator of electrode wire feed mechanism: arc welding applications

B Babes, A Boutaghane, A Reddaf, M Boudjerda… - Welding in the …, 2024 - Springer
The electrode wire feeding mechanism (EWFM) is a closed-loop system that is commonly
utilized in power-controlled arc welding machines to achieve better performance for different …

[PDF][PDF] Experimental Evaluation of Single-Phase Shunt Active Power Filter Based on Optimized Synergetic Control Strategy for Power Quality Enhancement.

O Gherouat, A Hassam, O Aissa… - Journal Européen des …, 2021 - researchgate.net
Accepted: 17 May 2021 In this paper, a synergetic approach based on particle swarm
optimization (SC-PSO) technique is proposed for Single-Phase Shunt Active Power Filter …