Parameter Estimation for the Basic Zirka-Moroz History-Dependent Hysteresis Model for Electrical Steels.

Area of Science:

• Materials Science
• Electrical Engineering
• Computational Physics

Background:

• History-dependent hysteresis models are vital for accurate magnetization and power loss calculations in magnetic components.
• Distorted excitation waveforms create complex magnetization patterns, necessitating advanced modeling techniques.
• The Zirka-Moroz model balances accuracy and complexity but presents parameter estimation challenges.

Purpose of the Study:

• To provide insights into the parameter estimation procedure for the Zirka-Moroz history-dependent hysteresis model.
• To analyze the model's performance and parameter estimation for different electrical steel types.
• To understand the capabilities, challenges, and limitations of the model for specific applications.

Main Methods:

• Utilized a fundamental two-step parameter estimation procedure.
• Employed measured first-order reversal curves (FORCs) for analysis.
• Evaluated two non-oriented and one grain-oriented electrical steel samples.

Main Results:

• Estimated two sets of parameters for each electrical steel sample.
• Compared estimated parameters with reference values for non-oriented electrical steels.
• Demonstrated the applicability of the estimation procedure across different steel types.

Conclusions:

• The parameter estimation procedure is feasible for the Zirka-Moroz model with various electrical steels.
• The analysis highlights critical aspects for implementing the model in practical magnetic component design.
• Further understanding of model limitations and requirements for specific steel types is achieved.