Romain Marion

Identification of Jiles–Atherton Model Parameters Using Particle Swarm Optimization

This paper presents the use of the multiobjective particle swarm optimization (PSO) technique for the identification of Jiles-Atherton model parameters. This approach, implemented for the first time in order to solve this kind of problem, is tested for two magnetic materials: NO 3% SiFe and NiFe 20-80. The results are compared with those obtained with a direct search method and a genetic algorithm procedure. Experimental measures performed on both samples of materials allow us to complete and argue the validation for the PSO method.

Dynamical Models for Eddy Current in Ferromagnetic Cores Introduced in an FE-Tuned Magnetic Equivalent Circuit of an Electromagnetic Relay

Electromagnetic relay modeling is elaborated using a magnetic equivalent circuit (MEC). The lumped parameters of the MEC are fitted with respect to 3-D finite-element simulation by using classical optimization algorithms. An accurate dynamic material law has to be taken into account in the modeling, considering the massive core of the circuit. Two accurate dynamical models for representing eddy currents are studied. The simulation of the relay is carried out for several excitation frequencies. A comparison between measurements and simulated quantities is provided.