Équipe 01

2019
Y. Beddiaf, F. Zidani, and undefined, “New MRAS Approach for Sensorless control of IM,” 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). pp. 36-40, 2019.Abstract
In this paper we present a new approach of MRAS based on current model only. This technique aims to offsets compensating and solving problems of ordinary MRAS in low speed. Also this new approach allows us to estimate the components of the rotor flux and the rotor speed without using the voltage model. The results of the simulation and the experimental results are presented and show the effectiveness of the proposed technique.
2018
H. Khelloufi and S. Benaicha, “New Synergetic Control for an Induction Motor with a synergetic Speed and Rotor Flux Estimation,” ICCEE’18 International conference on communications and electrical engineering. 2018.
S. Nadji and S. Benaicha, “Robust Dynamic surface control of interior Permanent Magnet Synchronous Motors,” international conference on Electronics, Energy and measurement (IC2EM). 2018.
S. Nadji, S. Benaicha, N. Sabeur, and M. Zaihidee, “Robust Backstepping control with integral action of IPM Synchronous Motor,” The Third international conference on Electrical sciences and technologies in Maghreb (CISTEM). 2018.
N. Benbaha, F. Zidani, M. S. Nait-Said, S. Zouzou, S. Boukebbous, and H. Ammar, “dSPACE Validation of Improved Backstepping Optimal Energy Control for Photovoltaic Systems,” 6th International Renewable and Sustainable Energy Conference (IRSEC). pp. 1-6, 2018.Abstract
In this paper, an efficient and fast MPPT power control of photovoltaic systems based on backstepping approach is presented. The proposed control scheme consists of two cascade loops; in the first loop, the auto-scaling variable step-size perturb and observe MPPT technique estimates the reference voltage of all electrical load values. The robust backstepping controller has been adopted to remove steady state oscillations in the second loop. Further, the performance of proposed control system has been analyzed through dSPACE DS-1104 experimental validation with Isofoton photovoltaic module under real climatic conditions at Biskra (Algeria) region. The results obtained by the used controller averred a good improvement.
I. Sellami, B. Manescau, K. Chetehouna, C. de Izarra, R. Nait-Said, and F. Zidani, “BLEVE fireball modeling using Fire Dynamics Simulator (FDS) in an Algerian gas industry,” Journal of Loss Prevention in the Process Industries, vol. 54, pp. 69-84, 2018.Abstract
BLEVE is one of major accidents observed in gas industry causing severe damage to people and environment. Its effects are manifested in three ways: shock wave propagation, fireball radiation and fragments projection. To assess these effects, risk decision-makers often use Quantitative Risk Analysis (QRA). In most cases, QRA data are obtained from empirical correlations. However, these correlations are not very satisfactory because they generally overestimate BLEVE effects and do not take into account geometry effects. In order to overcome the limitations of these empirical approaches, CFD modeling appears as a powerful tool able to provide more accurate data to better realize QRA. In this paper, the objective is to develop a CFD methodology in order to predict BLEVE thermal effectsNumerical simulations are carried out using the CFD code FDS. A sensitivity analysis of numerical models is performed in order to choose the right parameters allowing to model the fireball dynamics. The models retained are based on a single-step combustion using EDC model coupled with a LES turbulence model. Predictions show good agreement in comparison with results issued from three large-scale experiments. Furthermore, a case study on a propane accumulator in an Algerian gas processing unit is carried out.
I. Sellami and F. Zidani, “Quantitative consequence analysis using Sedov-Taylor blast wave model. Part II: Case study in an Algerian gas industry,” Process Safety and Environmental Protection, DOI: 10.1016/j.psep.2018.02.003., 2018.
I. Sellami and F. Zidani, “Quantitative consequence analysis using Sedov-Taylor blast wave model. Part I: Model description and validation,” Process Safety and Environmental Protection, DOI: 10.1016/j.psep.2018.02.002., no. 10.1016, pp. 116, 2018.
2017
S. Nadji and S. Benaicha, “Integral Backstepping Control of PMSM for Electrical Vehicle ApplicationOctober,” International Conference on  Electrical Engineering -ICEE’2017. 2017.
S. Nadji and S. Benaicha, “New Sensorless Speed Control of IPMSM Based on Backstepping Observer,” J. Automation & Systems Engineering , vol. 11 N°3, pp. 230-243, 2017.
N. Benbaha, F. Zidani, M. S. Nait-Said, S. Boukebbous, and H. Ammar, “Optimal Energy Control of Induction Motor Standalone Photovoltaic-Battery Pumping System,” 6th International Conference on Systems and Control. 2017.
N. Benbaha, F. Zidani, S. Boukebbous, and H. Ammar, “Robust Backstepping MPPT for Photovoltaic System,” International Journal of Control Theory and Applications, vol. 9 (38), pp. 179-188, 2017.
2016
Y. Beddiaf, F. Zidani, L. C. Alaoui, and S. Drid, “Modified speed sensorless indirect field-oriented of induction motor drive,” International Journal of Modelling, Identification and Control journal, vol. 21 No. 4, pp. 370-377, 2016.
N. Benbaha, F. Zidani, and M. S. Nait-Said, “Robust Backstepping MPPT for Photovoltaic System,” 3rd International conference on green energy & Environmental engineering GEEE’2016. 2016.
N. Benbaha, F. Zidani, and M. S. Nait-Said, “Robust Backstepping MPPT for Photovoltaic System,” International Journal of Chem Tech Research :IJCRGG, 2016.
2015
Y. Beddiaf, F. Zidani, L. C. Alaoui, and S. Drid, “Novel Speed Sensorless Indirect Field-Oriented Control Of Induction Motor Using Pll And Ekf, ,” Journal Of Electrical Engineering, vol. 15, 2015.
2014
C. Mehemmal, F. Zidani, S. Benaicha, and M. S. Nait-Said, “Research on Improvement of FOC System for Induction Motor using Fuzzy Logic,” International Journal of Modelling, Identification and Control journal, Inderscience Publishers, vol. Vol. 21 No. 4, pp. 370-377, 2014.
Y. Beddiaf, L. C. Alaoui, F. Zidani, and S. Drid, “Modified speed sensorless indirect field-oriented control of induction motor using PLL,” 5th international conference on Sciences and Techniques of Automatic control & computer engineering - STA'2014. 2014.
2013
S. Benaicha, F. Zidani, R. Nait-Said, and M. S. Nait-Said, “An improved SVM-DTC with fuzzy control based induction motor drive scheme using D-Space,” IV International Conference on Power Engineering, Energy and Electrical Drives (POWERENG). 2013.
Z. rouabeh, F. Zidani, and B. Abdelhadi, “Fuzzy Efficiency Enhancement of Induction Motor Drive,” IV International Conference on Power Engineering, Energy and Electrical Drives (POWERENG). 2013.

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