Ferrimagnetic Inductor Design Using Population-Based Design Algorithms

• Published in: IEEE transactions on magnetics Vol. 45; no. 2; pp. 726 - 734
• Main Authors: Cale, J., Sudhoff, S.D., Chan, R.R.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Automated design; Cross-disciplinary physics: materials science; rheology; Design engineering; Exact sciences and technology; Ferrimagnetic materials; Ferrimagnetism; hysteresis; Hysteresis losses; Inductors; Magnetic cores; Magnetic hysteresis; magnetic loss; Magnetic materials; Magnetism; Materials science; Mathematical models; Optimization; Optimization methods; Other topics in materials science; Physics; Saturation magnetization; Toroidal magnetic fields; Design; Iron loss; Automated design; magnetic loss; Inductors; Magnetic properties; hysteresis
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/TMAG.2008.2008436

In this paper, we set forth a procedure to perform detailed inductor designs using population-based optimization methods. We chose inductor designs on the basis of design inputs, i.e., the inductor geometry and core material. The method incorporates recent research in magnetic materials characterization, advanced inductor modeling, and hysteresis loss modeling. We present several case studies for both single- and multi-objective optimizations.