Nombre total de résultats : 98
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Badreddine BABES (En préparation)
Thèse de doctorat

The use of renewable energy systems has become very important in the re-cent years due to environmental concern and the increasing demand of energy. Nowadays, wind power is the fastest growing energy source with increase in installed power mainly driven by increase in quantity and power rating of the wind turbines. The increase in the power of the generators leads to the need of research on new control strategies and different topologies of power converters to combine performance, power quality and efficiency demanded by these sys-tems.In this sense, this research project presents various advanced predictive control strategies for different power electronic converters employed in perma-nent magnet synchronous generator (PMSG) wind energy systems. The pro-posed systems combine the advantages of proven wind turbine technologies, such as low-cost machine-side converters, and efficient grid-side converters. The classical control techniques, based on linear PI regulators and low band-width modulation, present several technical issues during system operation, to overcome these issues, a high performance predictive control strategies are proposed in this thesis to control the power converters. The main feature of these control techniques are that a particular attention is paid to increase the efficiency and sustainability, reduce the torque and DC-link ripples, operating at considerably constant switching frequency and help higher penetration of renewable fluctuating power into the grid. Detailed technical work is supported by MATLAB/SIMULINK model based simulations and validated by experi-mental work on a laboratory prototype consisting in a PMSG and power con-verters, considering the fluctuation of the wind speed. Voir les détails

Mots clés : Permanent Magnet Synchronous Generator (PMSG), Wind energy systems, Predictive control stratigies, Experimental work

Design and real time implementation of sliding mode supervised fractionalcontroller for wind energy conversion system under sever working conditions

Hamza Afghoul, Fateh Krim, Badreddine BABES, Antar Beddar, Abbas Kihel  (2018)

Wind energy conversion system (WECS) is increasingly taking the place to be the most promised renewablesource of energy, which obliges researchers to look for e?ective control with low cost. Thus, this paper proposesto build a suitable controller for speed control loop to reach the maximum power point of the wind turbine undersever conditions and to ensure the stability of the outer voltage regulation loop to meet high range of loadvariations. In literature, a major defect of the well-used conventional PI controller is the slow response time andthe high damping. Nowadays, intelligent controllers have been used to solve the drawbacks of the conventionalones but they demand high speed calculators and expensive cost. Moreover, many solutions proposed thefractional order PI controller (FO-PI) by extending the order of integration from integer to real order. The FO-PIcontroller presents also some weakness in steady state caused by the approximation methods. The idea of thispaper is to propose a Sliding Mode Supervised Fractional order controller (SMSF) which consists of conventionalPI controller, FO-PI controller and sliding mode supervisor (SMS) that employs one of the controllers to ensuregood steady and transient states. WECS laboratory prototype is built around real-time dSPACE cards andevaluated to verify the validity of the developed SMSF. The results clearly ful?ll the requirements, con?rm itshigh performance in steady and transient states and demonstrate its feasibility and e?ectiveness. Voir les détails

Mots clés : Maximum Power Point Tracking (MPPT), Wind Energy Conversion System (WECS), PI controller, Fractional order PI controller, Sliding mode control, Direct power control

Detection of Broken Rotor Bar Fault in Squirrel Cage Induction Motor using Wavelet Packet Analysis

Djalel DRICI, Hichem MERABET, Salim AOUABDI, Adel BOUDIAF  (2018)

The fault of broken rotor bars in a three-phase induction motor is diagnosed by using the wavelet Packet analysis. In this paper Daubechies wavelet is selected as the wavelet base and the wavelet coefficient is obtained from the wavelet transform of current signal of the faulty induction motor. The Energy of Wavelet components appear to be useful for detecting different electrical faults. In this paper we will study the problem of broken rotor bars. Voir les détails

Mots clés : Wavelet Packet, Analysis, diagnosis fault, induction motor, broken bar, wavelet paket, analyses

Diagnosis and classification using ANFIS approach ofstator and rotor faults in induction machine

Merabet hichem, BAHI Tahar, DRICI Djalel  (2017)

Three-phase squirrel cage induction motors are one of the importantelements of the industrial production system, and are mostly used because oftheir robustness, reliability, relatively simple construction and their low cost.Nevertheless, during their function in different process, this machine types aresubmitted to external and internal stresses which can lead to several electricalor mechanical failures. In this paper, we proposed a reliable approach fordiagnosis and detection of stator short-circuit windings and rotor broken barsfaults in induction motor under varying load condition based on relative energyfor each level of stator current signal using wavelet packet decompositionwhich will be useful as data input of adaptive neuro-fuzzy inference system(ANFIS). The adaptive neuro-fuzzy inference system is able to identify theinduction motor and it is proven to be capable of detecting broken bars andstator short-circuit fault e with high precision. The diagnostic ANFIS algorithmis applicable to a variety of industrial process based on the induction machinefor detection and classified the any faults types. This approach is applied underthe MATLAB software®. Voir les détails

Mots clés : Induction machine, Detection, diagnosis, neuro-fuzzy, Monitoring

Design and Real Time Implementation of Three-PhaseThree Switches Three Levels Vienna Recti?er Based onIntelligent Controllers

Oualid Aissa, Samir Moulahoum, Ilhami Colak, Badreddine BABES, Nadir Kabache  (2017)

This paper treats the control of multilevel rectifier by applying the soft computing technique represented by the fuzzy logic. This latest, provides an inexpensive solution for controlling the ill-known complex systems, while relying on the imitation of human reasoning. In our case, the proposed intelligent controller aims at eliminating the current line harmonics, guaranteing an improved power factor, reducing the output voltage ripple and ensuring the balance between the two voltages across the two capacitors of Vienna rectifier. In order to evaluate the performance of the proposed control for Vienna rectifier, a comparative study in real time via the dSPACE card 1104 has been carried out between the traditional approach based on the conventional controllers and the new method using an intelligent controller. The experimental results confirm that the modified control approach has guaranteed a good quality of source currents in phase with the grid voltages and operation of the studied system with a power factor very close to unity. Furthermore, only one fuzzy controller used has ensured the regulation of the DC bus voltage, the minimization of the undulations for the two partial voltages and the improvement of the error of the voltage balance for the Vienna rectifier. Voir les détails

Mots clés : Vienna rectifier, Fuzzy logic controller, DC bus voltage ripple, Total harmonic distortion, Power factor correction

Predictive Control of Power Electronics Converters in Wind Energy Systems

Badreddine BABES, Rachid AMRAOUI, Amar BOUTAGHANE, Amar Bouafassa and Mohamed Mezaache  (2017)
Article de conférence

In order to make a wind power generation truly costeffective and reliable, an advanced control techniques must beused. In this paper, we develop a new control strategy usingModel Predictive Control (MPC) approach for permanentmagnet synchronous generator based wind turbine system. Theproposed control law is based on two points: MPC-based torquecurrentcontrol loop for the generator-side converter to reach themaximum power point of the wind turbine, and MPC-basedcurrent control loop for the grid-side converter to satisfy the gridcode and to help improve system stability. A small-scale windturbine system prototype was built and tested in the laboratory,and the experimental results are provided to verify the validity ofthe developed control methods, MPPT algorithm andperformance of the system operations. Voir les détails

Mots clés : finite-set model predictive control (FSMPC), Permanent Magnet Synchronous Generator (PMSG), Wind Energy Conversion System (WECS), Maximum Power Point Tracking (MPPT) Control, Grid Connected, experimental validation

The Performance of Some Implicit Region-Based ActiveContours in Segmenting and Restoring WeldingRadiographic Images

Y. Boutiche, M. Halimi  (2017)

Several domains are based on image processing and analysis. One of them is the radiographicinspection which is used in Non Destructive Testing (NDT). Active contours, snakes ordeformable models are powerful techniques in image segmentation and restoration. According to theterm related to the input data (image to be treated) those functionals are ranked on two categories:edge-based models and region-based models. Previous studies point out the advantages of the regionbasedmodels over edge-based models. In this paper, we discuss and we summarize the strengths andweaknesses of four implicit region-based active contour models named: Piecewise Constant PC,Piecewise Smooth PS, Local Binary Fitting LBF and Global Local fitting energy GLF. After performingseveral experiments, we have concluded that all the models perform well with homogeneousimages. On the contrary when images are strongly inhomogeneous, the models based on global (PC)or local (LBF) statistic intensity fail to segment such images. The PS model with its great advantage inpreserving the contours has, as a drawback, the high CPU time consuming. The combination of localand global statistic image intensity gives to the GLF model the ability to better deal with such imagesin less CPU time. Voir les détails

Mots clés : segmentation, radiographic images, Level set, region-based active contour, PC, PS, LBF, GLF

Experimental Design of Stand-alone Field Oriented Control for WECS in Variable Speed DFIG-based on Hysteresis Current Controller

Fayssal AMRANE, Azeddine CHAIBA, Bruno FRANCOIS, Badreddine BABES  (2017)
Article de conférence

This paper presents the experimental design of a stand-alone field-oriented control (FOC) for wind turbine based on a doubly fed induction generator (DFIG). The control law is synthesized using a hybrid FOC-Hysteresis current controller (HCC) in Rotor side converter (RSC) and the stator is connected to the resistive load via rectifier (nonlinear load). The regulation is achieved below the synchronous speed (Hypo-synchronous mode). The implementation is realized using dSPACE1104 single board control and acquisition interface. The obtained results of the proposed control present high performance in steady and transient states. Voir les détails

Mots clés : Doubly fed induction generetor (DFIG), Field oriented control (FOC), Hysteresis current controller (HCC), Rotor/Stator side converter (RSC/SSC), dSPACE1104

Design and Experimental Validation of a Digital Predictive Controller for Variable-Speed Wind Turbine Systems

Badreddine BABES, Lazhar Rahmani, Abdelmadjid Chaoui, Noureddine Hamouda  (2017)

Advanced control algorithms must be used to make wind power generation truly cost effective and reliable. In this study, we develop a new and simple control scheme that employs model predictive control (MPC), which is used in permanent magnet synchronous generators and grid-connected inverters. The proposed control law is based on two points, namely, MPC-based torque?current control loop is used for the generator-side converter to reach the maximum power point of the wind turbine, and MPC-based direct power control loop is used for the grid-side converter to satisfy the grid code and help improve system stability. Moreover, a simple prediction scheme is developed for the direct-drive wind energy conversion system (WECS) to reduce the computation burden for real-time applications. A small-scale WECS laboratory prototype is built and evaluated to verify the validity of the developed control methods. Acceptable results are obtained from the real-time implementation of the proposed MPC methods for WECS. Voir les détails

Mots clés : Maximum Power Point Tracking (MPPT), Model predictive control (MPC), Permanent Magnet Synchronous Generator (PMSG), Wind Energy Conversion System (WECS)

Real Time Implementation of Grid-connection controlusing Robust PLL for WECS in Variable SpeedDFIG-based on HCC

Fayssal AMRANE, Azeddine CHAIBA, Bruno FRANCOIS, Badreddine BABES  (2017)
Article de conférence

This paper presents the experimental real timeimplementation of a grid-connection field-oriented control (FOC)for wind turbine based on a doubly fed induction generator(DFIG). A control law is synthesized using a hybrid FOCHysteresisCurrent Controller (HCC) in Rotor side converter(RSC) and the stator is connected to grid via robust PLL (phaselocked loop). The regulation is achieved below the synchronousspeed (Hypo-synchronous mode). The implementation is realizedusing dSPACE1104 single board card control and acquisitioninterface. The obtained results of the proposed control presenthigh performance in steady and transient states with low THD ofthe stator injected current to the grid (<5%). Voir les détails

Mots clés : Doubly fed induction generetor (DFIG), Field oriented control (FOC), Hysteresis current controller (HCC), Rotor side converter (RSC), dSPACE1104