Electrotechnique
A Robust Adaptive Fuzzy Fast Terminal Synergetic Voltage Control Scheme for DC/DC Buck Converter
In this paper, an adaptive fuzzy fast terminal synergetic voltage control scheme for DC/DC buck converter is proposed based on recently developed synergetic theory and a terminal attractor method. The advantages of presented synergetic control include the characteristics of finite time convergence, insensitive to parameters variation and chattering free phenomena. Rendering the design more robust, fuzzy logic systems are used to approximate the unknown parameters in the proposed controller without calling upon usual model linearization and simplifications. Taking the DC/DC buck converter in continuous conduction mode as an example, the algorithm of proposed synergetic control is analyzed in detail. All the simulation results demonstrate the effectiveness and the high dynamic capability of the proposed AF-FTSC control technique over the FTSC strategy. Voir les détails
Mots clés : synergetic control, fuzzy logic system; terminal technique; finite time convergence; DC/DC buck converter.
Fractional-Fuzzy PID Control Approach ofPhotovoltaic-Wire Feeder System (PV-WFS):Simulation and HIL-Based ExperimentalInvestigation
The utilization of solar photovoltaic (PV) generator as a power source for wire feedersystems (WFSs) of arc welding machines is one of the promising domains in solar PV applications. Thisarticle proposes a new type of welding WFS and investigates the PV penetrated energy systems. Theproposed system comprises of a solar PV generator, a DC/DC buck converter, and a permanent magnet DC(PMDC) motor. The power of the proposed standalone solar photovoltaic-wire feeder system (PV-WFS)can be widely improved using an intelligent fractional-order fuzzy proportional integral derivative (FOFuzzy-PID) regulator based on perturbing and observe (P&O) MPPT method. In this article, a FO-FuzzyPID regulator is also designed for a PMDC motor driven welding WFS system. Which will then control thewire feed rate of the welding WFS system. Furthermore, the dynamic reaction of the proposed solar PVWFS depends on the coefficients of these FO-Fuzzy-PID regulators, which are adjusted by a meta-heuristictuning algorithm based on particle swarm optimization (PSO) technique. The proposed strategy is testedusing MATLAB simulations and experimentally verified in real-time on a Hardware-in-the-loop (HIL)testing platform using a dSPACE®1104 board-based laboratory setup. Simulation and experimental resultsare acceptable and demonstrate the effectiveness, precision, stability, and dynamic reaction of the suggestedoptimized wire feeder regulating system and the considered intelligent P&O MPPT technique. Voir les détails
Mots clés : Buck converter, fractional-order fuzzy PID regulator, MPPT technique, PSO algorithm, PV module, wire feeder system (WFS).
Optimal Tuning of Fractional Order Proportional-Integral-Derivative Controller for WireFeeder System Using Ant Colony Optimization
The goal of this work is to present a robust optimal control approach, in order to improve the speed error-tracking and control capability of a permanent magnet DC Motor (PMDC)driven wire-feeder systems (WFSs) of gas metal arc welding (GMAW) process. The proposed speed controller employs an optimized fractional-order proportional + integral+ derivative (FOPID) controller that serves to eliminate oscillations, overshoots, undershoots and steady state fluctuations of the PMDC motor and makes the wire-feeder unit (WFU) has fast and stable starting process as well as excellent dynamic characteristics. The fixed controller parameters are meta-heuristically selected via an ant colony optimization (ACO) algorithm. Numerical simulations are performed in Matlab/Simulink environment and the performance of the proposed ACO-FOPID controller is validated. The simulation results clearly demonstrate the significantimprovement rendered by the proposed approach in the wire-feeder system's reference tracking performance, torque disturbance rejection capability, and transient recovery time. Voir les détails
Mots clés : gas metal arc welding process, wire-feeder system, fractional-order-proportionalintegral-derivative controller, ant colony optimization algorithm
La Contribution du Contrôle Direct de Couple d'une MAS Alimentée par des Onduleurs Multi-Niveaux en Appliquant l'intelligence Artificielle (Logique Floue-Réseau de Neurone).
Actuellement, avec la progression de l’électronique de puissance et celui de commande, il est possible d’obtenir la même performance des machines asynchrones (MAS) et des machines asynchrones à double stator (DSIM) que celles à courant continue. Les derniers développements de commande du (MAS/DSIM) ont vu l’émergence de différentes structures basées sur le contrôle vectoriel comme le contrôle direct du couple DTC. Cette stratégie de commande permet de calculer les grandeurs de contrôle qui sont le flux statorique et le couple électromagnétique à partir des seules grandeurs liées au stator sans l’intervention de capteur mécanique de la machine asynchrone et à double stator pour un entraînement électrique avec une source de tension multi-niveaux. De plus, cette structure ne nécessite pas l’application d’une commande à modulation de largeur d’impulsion (MLI) sur l’onduleur multi-niveaux, ce qui améliore, très nettement, les performances dynamiques des grandeurs contrôlées. Cet ensemble convertisseur-machine reste cependant restreint à la limite inférieure de gamme des fortes puissances, du fait des contraintes électriques subies par les semi-conducteurs et de leur faible fréquence de commutation. Cette étude consiste à l'optimisation de l’algorithme DTC à multi-niveaux, en appliquant plusieurs approches pendant la conception des tables de commutations afin d’améliorer les résultats classiques notamment la réduction d’ondulation du couple. Les résultats obtenus dans la DTC classique sont encore améliorés en appliquant la technique de la logique floue ainsi que les avantages des réseaux de neurones artificiels. Cet objectif comprend une amélioration de la réponse dynamique du système, ainsi que les performances en régime statique, particulièrement la minimisation des pulsations du couple électromagnétique de la (MAS/DSIM).Cette étude est basée sur la technique de diagnostic (Détection/Localisation) des défauts au niveau de l’onduleur par la technique de vecteur du Park et la coordonnées polaires et aussi la proposition du nouveau convertisseur multi-niveau à tolérance de pannes reconfigurable pour poursuivre la continuité du processus de l’ensemble du système. Des simulations numériques sur Matlab/Simulink ont été implantées pour valider les méthodes proposées. Voir les détails
Mots clés : commande direct du couple, Onduleur à multi-niveaux, machine asynchrone, machine asynchrone à double stator, Commande sans capteur, Commande par logique floue, Réseaux de neurones artificiels, Détection, localisation, Reconfiguration
A Comparative Study between the Two Applications ofthe Neural Network and Space Vector PWM for DirectTorque Control of a DSIM Fed by Multi-Level Inverters
Nowadays, thanks to the development of control and power electronics, the dualstator induction machine DSIM has become among the most important multi-phase machinesincluded in the industrial application of welding process, this is due to its positive featuresamong them is its high reliability and reduce both losses and rotor torque ripple.This paper aims to apply both techniques of artificial intelligence represented by the neuralnetwork algorithm NNA and the Space Vector PWM SVM for direct torque control DTC of theDSIM to improve the machine performance to control speed wire of Gas Metal Arc Welding(GMAW), and control algorithms DTNC and DTC-SVM.Generalization capacity, the parallelism of operation, computational speed, and learning ca-pacity all these features made it possible to exploit the neural network algorithm to control themachine. Fixed switching frequency obtained, dispensed with the vector selection table and thehysteresis controller, the three pros allowed the inclusion of SVM technique in DTC strategy.The converters are included to feed the DSIM and the GMAW process. A several of the re-sults obtained prove the two applied techniques (NNA, SVPWM) in improving the quality ofboth electromagnetic torque and flux and the dynamic responses of the DSIM. Voir les détails
Mots clés : GMAW, DSIM, Neural Network Algorithm NNA, Space Vector PWM SVM, DTNC, DTCSVM, Three-level NPC inverter
Etude du Comportement de la barrièreisolante en vue de son optimisation
Ce travail concerneune étude expérimentale du comportement d'un intervalle isolant pointe-plan lorsqu'on lui insère une barrière isolante sous tension alternative et onde de choc de foudre positive. Il s'agit d'examiner la variation de la tension de disruption en fonction des dimensions géométriques de la barrière, de sa position dans l'intervalle et de sa nature. L'examen de l'effet de la pollution est aussi entrevu. En plus de la tension disruptive, les essais se sont intéressés à la forme de la décharge.Les résultats expérimentaux ont été exploités pour établir un modèle numérique basé sur le calcul de la répartition du champ électrique et l'évolution aléatoire de la décharge.Ce modèle reproduit fidèlement les formes de décharges et détermine avec une bonne précision l'efficacité de la barrière en fonction de la largeur, son épaisseur et sa position Voir les détails
Mots clés : isolant solide, système pointe-plan, décharge électrique, efficacité, modélisation numérique
Particle Swarm Optimization of Fuzzy Fractional PDµ+I Controllerof a PMDC Motor for Reliable Operation of Wire-Feeder Units ofGMAW Welding Machine
In this article, we consider the development of an optimal control approach based on fuzzy fractional PDµ+I controller to improve thespeed error-tracking and control capability of a permanent magnet DC Motor (PMDC) driven wire-feeder systems (WFSs) of gas metal arc welding(GMAW) process. The proposed controller employs an optimized fractional-order proportional derivative + integral (PDµ+I) controller that serves toeliminate oscillations, overshoots, undershoots and steady state fluctuations of the PMDC motor and makes the wire-feeder unit (WFU) has fast andstable starting process as well as excellent dynamic characteristics. The fixed controller parameters are meta-heuristically selected via a particleswarm optimization (PSO) algorithm. Numerical simulations are performed in MATLAB/SIMULINK environment and the performance of the proposedfuzzy fractional PDµ+I controller is validated. The simulation tests clearly demonstrate the significant improvement rendered by the proposed fuzzyPDµ+I controller in the wire-feeder system's reference tracking performance, torque disturbance rejection capability and robustness against modeluncertainties. Voir les détails
Mots clés : GMAW process, Wire-feeder System (WFS), fuzzy fractional PDµ+I controller, Particle Swarm Optimization (PSO) algorithm
Real Time Implementation of Grid Connected Wind Energy Systems: Predictive Current Controller
This work, suggests a new control strategy usingFinite-Control-Set Model-Predictive-Control (FCS-MPC) for thecontrol of a wind turbine system (WTS) based on PermanentMagnet Synchronous Generator (PMSG). The consideredcontroller is separated on two parts: FCS-MPC-based on thecurrent control loop for the single switch mode rectifier tooptimally release the maximum wind power, and FCS-MPCbased on the voltage control loop for the voltage source inverterto enhance the THD of grid currents. A wind energy systemprototyping platform was developed and accomplished in thelaboratory, and the experimental results are provided to verifythe performances of the considered FCS-MPC strategies. Voir les détails
Mots clés : Finite-Control-Set Model-Predictive-Control (FCSMPC), Permanent Magnet Synchronous Generator (PMSG), Wind Turbine System (WTS), Maximum Power Point Tracking (MPPT), Grid Connected, Experimental Results
A DC/DC Buck Converter Voltage Regulation UsingAn Adaptive Fuzzy Fast Terminal Synergetic Control
In this paper, an adaptive fuzzy fast terminalsynergetic voltage regulation for DC/DC buck converter isdesigned based on recently developed synergetic theory and aterminal attractor method. The advantages of presentedsynergetic control include the characteristics of finite timeconvergence, insensitive to parameters variation and chatteringfree phenomena. Rendering the design more robust, fuzzy logicsystems are used to approximate the unknown parameters in theproposed controller without calling upon usual modellinearization and simplifications. Taking the DC/DC buckconverter in continuous conduction mode as an example, thealgorithm of proposed synergetic control is analyzed in detail. Allthe simulation results demonstrate the effectiveness and the highdynamic capability of the proposed AF-FTSC control techniqueover the FTSC strategy Voir les détails
Mots clés : synergetic control, fuzzy logic system, terminal technique, finite time convergence, DC/DC buck converter
Optimization of AZO/ZnO/Cu2O Thin Film Heterojunction Solar Cell with Gaussian Defect
In the present article, we report on the simulation study of defected n+-n-p heterojunction metal oxide (MO) thin film solar cell. In the structure, the natural p-type cuprous oxide (p-Cu2O) thin film as an absorber layer is conducted with the natural n-type zinc oxide (n-ZnO) thin film as a buffer layer and a transparent conducting aluminum-doped zinc oxide (n+-AZO) thin film at the front of the n-ZnO buffer layer to verify the function of the window layer. The update xwAMPS version of AMPS one-dimensional simulator has been used to optimize the feasibility of n+-AZO/n-ZnO/p-Cu2O solar cell under air mass AM1.5 illuminations and 300K of temperature. The impact of the Cu2O absorber layer thickness in the n+-n-p heterojunction MO solar cell is investigated and hence, the performance of the n+-AZO/n-ZnO/p-Cu2O structure with gaussian defect is optimized. Voir les détails
Mots clés : Cu2O, ZnO, AZO, Gaussian defect, heterojunction, J-V data, wxAMPS