<span>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.</span>
The 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 L s , the quality factor Q and the resistor R s as a function of frequency.
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