IEEE Transactions on Magnetics · 2004 · 102 citations · 10 references
EngineeringComputational EngineeringElectrical EngineeringComputational ElectromagneticsElectromagneticsElectromagnetismDevice ModelingEvolutionary ComputationGenetic AlgorithmsGenetic ProgrammingMagnetic CharacterizationMagnetic Circuit AnalysisGenetic Algorithm OptimizationHysteresisHysteresis BehaviorHysteresis PropertiesMagnetic HysteresisMagnetic Hysteresis AnalysisMagnetic Hysteresis ModelingMagnetic Hysteresis Parameters
The parameters set of the Jiles-Atherton hysteresis model is identified by using a real coded genetic algorithm. The parameters identification is performed by minimizing the mean squared error between experimental and simulated magnetic field curves. The procedure is validated by comparing experimental and simulated results.
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Theory of ferromagnetic hysteresis
David Jiles, D.L. Atherton · Journal of Magnetism and Magnetic Materials · 1986 · 2.2K citations