An Optimization Technique for Improving Parameters of the Inverse Jiles-Atherton Hysteresis Formulation in Case of Steel Sheet Fe3%Si

In a current study, we present an innovative model for optimization of hysteresis cycle parameters. Proposed model is applied to a steel sheet. In doing so, we have defined the interest of the use of Jiles-Atherton phenomenological model and we have specified our study on the case of the inverse model. The exploit of Particle Swarm Optimization technique was discussed with details. B(H) curves produced by modeling and experimentation are shown for the quasi-static frequency under sinusoidal magnetic excitation applied to a GNO Fe3%Si steel sheet. Simulation results are analyzed and compared with experimental obtained B(H) curve. In a first situation, a study was conducted after optimization, while in the second one; the specified investigation was carried out with optimization. The simulated and optimized B(H) curve and the experimental data show and confirm an excellent agreement. A highly successful performance has been made, validating our proposed Model.

• Jiles-Atherton model
• particle swarm optimization
• magnetic hysteresis
• B-H curve
• grain-oriented electrical steel

• Magnetic Properties and Applications
• Metaheuristic Optimization Algorithms Research
• Electrical and Electromagnetic Research
• Jiles-Atherton model
• particle swarm optimization
• magnetic hysteresis
• B-H curve
• grain-oriented electrical steel
• Electronic, Optical and Magnetic Materials
• Artificial Intelligence
• Atomic and Molecular Physics, and Optics
• Materials Science
• Computer Science
• Physics and Astronomy