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Modeling Under MATLAB by ANFIS of Three-Phase Tetrahedral Transformer Using in Microwave Generator for Three Magnetrons Per Phase Mouhcine Lahame; Mohammed Chraygene; Hamid Outzguinrimt; Redouane Batit; Rajae Oumghar; Mohamed Ferfra
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 5: October 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i5.10003

Abstract

This work deals with the modeling of a new three-phase tetrahedral transformer of HV power supply, which feeds three magnetrons per phase. The design of this new power supply is composed of three single-phase with magnetic shunt transformers coupling in star; each one is size to feed voltage-doubling cells, thereby feeds a magnetron. In order to validate the functionality of this power supply, we simulate it under Matlab-Simulink environment. Thus, we modeled nonlinear inductance using a new approach of neuro-fuzzy (ANFIS); this method based on the interpolation of the curve B(H) of ferromagnetic material, the results obtained gives forms of both voltages and currents, which shows that they are in accordance with those of experimental tests, respecting the conditions recommended by the magnetron manufacturer
Optimal design of a three phase magnetic flux leakage transformer for industrial microwave generators Hamid Outzguinrimt; Mohammed Chraygane; Mouhcine Lahame; Rajaa Oumghar; Ali Bouzit; Mohammed Ferfra
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1276.485 KB) | DOI: 10.11591/eei.v9i1.1679

Abstract

This paper aims to get an optimal high voltage magnetic flux leakage transformer design of a three-phase shell type. Optimal design of transformer requires determination of design variables to optimize a particular objective and satisfying a set of constraints. The objective function is to minimize the total mass and reduce the volume of the transformer. This function depends on inputs, which are divided into optimization variables. Each optimization variable varies within a certain interval thus defining a global search space. It is within this space that we seek the optimal solution. The constraints: maximum and average current of magnetron anode are part of the problem in order to limit the overall search space. The results obtained indicate that the method has provided a global optimum. The computation time and cost of active material are much reduced compared with the conventional design results.