Laboratoire de Recherche LATIS Laboratory of Advanced Technology and Intelligent Systems

Publications

Recherche Avancée

  • Auteur : Ben Lakhhel Nadhir Mansour
  • Année 2014

In this paper, we present an electromagnetic inverse particle swarm optimization (PSO)-based method for modeling the electromagnetic radiation of components or systems of power electronics using the near-field technique. The implementation of this method has been applied to the cartography of the magnetic field emitted by different structures. To fully appreciate our approach, the obtained results along with the proposed methods were compared to those obtained by the inverse method, based on the genetic algorithm (GA). Basically, we will compare the results at two levels, theoretical and practical. For the theoretical comparison, both methods are applied to several calculated cartographies of the magnetic field, using the analytical equations of the magnetic and electric dipoles. For the practical comparison, we have used results based on the measurements performed on real systems. The purpose of these comparisons is to show that using the PSO in the electromagnetic inverse method is more interesting than the GA. In fact, the obtained results have shown that the PSO-based method is at least six times faster than the GA-based one.

  • Auteur : Ben Lakhhel Nadhir Mansour
  • Année 2014

In this paper, we present an electromagnetic inverse particle swarm optimization (PSO)-based method for modeling the electromagnetic radiation of components or systems of power electronics using the near-field technique. The implementation of this method has been applied to the cartography of the magnetic field emitted by different structures. To fully appreciate our approach, the obtained results along with the proposed methods were compared to those obtained by the inverse method, based on the genetic algorithm (GA). Basically, we will compare the results at two levels, theoretical and practical. For the theoretical comparison, both methods are applied to several calculated cartographies of the magnetic field, using the analytical equations of the magnetic and electric dipoles. For the practical comparison, we have used results based on the measurements performed on real systems. The purpose of these comparisons is to show that using the PSO in the electromagnetic inverse method is more interesting than the GA. In fact, the obtained results have shown that the PSO-based method is at least six times faster than the GA-based one.

  • Auteur : Ben Hadj Slama Jaleleddine
  • Année 2013

Progress In Electromagnetics Research M, Vol. 31, 247{262, 2013 http://www.jpier.org/PIERM/pierm31/18.13052008.pdf This paper deals with the modeling the radiation of the power electronics component: the MOSFET. First, the magnetic near field measurements are made to characterize the radiation of the component. The MOSFET under test is referenced by IRF640 used in DC-DC converter. Second, we have applied the electromagnetic inverse method based on the measured field at 20 MHz to create a model of radiation sources of the MOSFET. The obtained results show a good agreement between the magnetic near field cartography obtained by the developed model and those measured. Finally, the developed model was used to predict the magnetic field in another distance and it was validated with measured cartography.

  • Auteur : Ben Hadj Slama Jaleleddine
  • Année 2013

Progress In Electromagnetics Research B, Vol. 51, 389{406, 2013 http://www.jpier.org/PIERB/pierb51/19.12091614.pdf In this paper we present a methodology to guarantee the convergence of the electromagnetic inverse method. This method is applied to electromagnetic compatibility (EMC) in order to overcome the difficulties of measuring the radiated electromagnetic field and to reduce the cost of the EMC analysis. It consists in using Genetic Algorithms (GA) to identify a model that will be used to estimate the electric and magnetic field radiated by the device under test. This method is based on the recognition of the equivalent radiation sources using the Near Field (NF) cartography radiated by the device. Our contribution in this field is to improve the ability and the convergence of the electromagnetic inverse method by using the Pseudo Zernike Moment Invariant (PZMI) descriptor and the Artificial Neural Network (ANN). The validation of the proposed method is performed using the NF emitted by known electric and magnetic dipoles. Our results have proved that the proposed method guarantees the convergence of the electromagnetic inverse method and that the convergence speeds up while retaining all the other performances.

  • Auteur : Ben Hadj Slama Jaleleddine
  • Année 2013

Progress In Electromagnetics Research M, Vol. 31, 247{262, 2013 http://www.jpier.org/PIERM/pierm31/18.13052008.pdf This paper deals with the modeling the radiation of the power electronics component: the MOSFET. First, the magnetic near field measurements are made to characterize the radiation of the component. The MOSFET under test is referenced by IRF640 used in DC-DC converter. Second, we have applied the electromagnetic inverse method based on the measured field at 20 MHz to create a model of radiation sources of the MOSFET. The obtained results show a good agreement between the magnetic near field cartography obtained by the developed model and those measured. Finally, the developed model was used to predict the magnetic field in another distance and it was validated with measured cartography.

  • Auteur : Ben Hadj Slama Jaleleddine
  • Année 2013

Progress In Electromagnetics Research B, Vol. 51, 389{406, 2013 http://www.jpier.org/PIERB/pierb51/19.12091614.pdf In this paper we present a methodology to guarantee the convergence of the electromagnetic inverse method. This method is applied to electromagnetic compatibility (EMC) in order to overcome the difficulties of measuring the radiated electromagnetic field and to reduce the cost of the EMC analysis. It consists in using Genetic Algorithms (GA) to identify a model that will be used to estimate the electric and magnetic field radiated by the device under test. This method is based on the recognition of the equivalent radiation sources using the Near Field (NF) cartography radiated by the device. Our contribution in this field is to improve the ability and the convergence of the electromagnetic inverse method by using the Pseudo Zernike Moment Invariant (PZMI) descriptor and the Artificial Neural Network (ANN). The validation of the proposed method is performed using the NF emitted by known electric and magnetic dipoles. Our results have proved that the proposed method guarantees the convergence of the electromagnetic inverse method and that the convergence speeds up while retaining all the other performances.

AEM
  • Auteur : Ben Hadj Slama Jaleleddine
  • Année 2012

Calculations of near-field emissions in frequency-domain into time-dependent data with arbitrary wave form transient perturbations

  • Auteur : Ben Hadj Slama Jaleleddine
  • Année 2012

Application of the Coordinated Voltage Control Technique to the Tunisian Distribution Network Using the Virtual Power Plant Approach