Impact of sensorless neural direct torque control in a fuel cell traction system

Due to the reliability and relatively low cost and modest maintenance requirement of the induction machine make it one of the most widely used machines in industrial applications. The speed control is one of many problems in the traction system, researchers went to new paths instead the classical controllers as PI controller, they integrated the artificial intelligent for its yield. The classical DTC is a method of speed control by using speed sensor and PI controller, it achieves a decoupled control of the electromagnetic torque and the stator flux in the stationary frame, besides, the use of speed sensors has several drawbacks such as the fragility and the high cost, for this reason, the specialists went to propose an estimators as Kalman filter. The fuel cell is a new renewable energy, it has many applications in the traction systems as train, bus. This paper presents an improved control using DTC by integrate the neural network strategy without use speed sensor (sensorless control) to reduce overtaking and current ripple and static error in the system because the PI controller has some problems like this; and reduce the cost with use a renewable energy as fuel cell

DESIGN AND ELECTROMAGNETIC MODELING OF INTEGRATED LC FILTER IN A BUCK CONVERTER

This paper presents the design and electromagnetic modeling ‎of a new structure of integrated ‎low-pass LC filter in a buck converter. This micro-filter consists of a planar circular coil ‎placed between two Mn-Zn ferrite substrates. Mn-Zn ferrite has been chosen because of its high permeability and permittivity. In this micro-filter substrates act not only as a magnetic core but also as a capacitor. A modelling of the electromagnetic and electric behavior of the integrated filter, we have simulated with the help of the ‎software PSIM 9.0 on the equivalent electrical circuit of the dimensioned filter. A ‎visualization of the different electromagnetic phenomena that appear during the ‎operation of the filter is determined in 3D space dimension using the finite element ‎method.

Design and Modeling of a Square Planar Inductor for a Push Pull Converter

The scope of this work is the modeling and the simulation of a square planar spiral inductor; in order to integrate it into a selected electronic power converter. At first, from the operating conditions of an isolated DC-DC converter, we estimate the required values for the dimensioning of the inductance of the output of this device, which means; the determination of its various physical and geometrical parameters. Modeling requires the identification and consideration of various parasitic elements and their effects on the equivalent physical model of the inductor. The parametric study we conducted by MATLAB focused primarily on calculating the quality factor of the inductor then the influence of geometrical parameters on both the electrical, physical and frequency behavior of the square planar spiral inductor and the quality factor of the inductor. Finally, a comparative study by the PSIM software between a conventional inductor used in a DC-DC converter: push-pull, and an integrated inductor in the same selected structure gave desired results

Conception and Manufacturing of a Planar Inductance on NiFe Substrate

International audienceThe present paper presents the study, realization and characterization of a micro-coil sandwiched using a relatively thick layer of magnetic material. The integration of this micro-coil with as a starting point a set of specifications, requires the following steps: Identification and validation of geometric parameters for the calculation of electrical parameters. Losses dissipated as heat in these electronic systems are becoming a major concern for designers. This prompted to take into account the thermal design. The results obtained have allowed to realize a micro-coil micro square planar coil sandwiched shaped between two magnetic materials. Several carried measures focused on the inductance and resistance which are related to the frequency f, the module and phase of the impedance, and the gap g. The operation of these data is used to trace the evolution of the inductance value Ls, the quality factor Q and the resistor Rs as a function of frequency