Multiobjective FEM based optimization of BLDC motor using Matlab and Maxwell scripting capabilities

• Autorzy: Caramia R. , Piotuch R. , Pałka R.

Identyfikatory

DOI

10.2478/aee-2014-0009

• Języki publikacji: EN

Abstrakty

EN

The paper presents a methodology for the optimization of a Brushless Direct Current motor (BLDC). In particular it is focused on multiobjective optimization using a genetic algorithm (GA) developed in Matlab/Optimization Toolbox coupled with Maxwell from ANSYS. Optimization process was divided into two steps. The aim of the first one was to maximize the RMS torque value and to minimize the mass. The second part of the optimization process was to minimize the cogging torque by selecting proper magnet angle. The paper presents the methodology and capabilities of scripting methods rather than specific optimization results for the applied geometry.

Słowa kluczowe

EN

permanent magnets excited electrical machines; multiobjective optimization; Pareto Front

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2014
• Tom: Vol. 63, nr 1
• Strony: 115--124
• Opis fizyczny: Bibliogr. 15 poz., rys., wykr., wz.

Twórcy

autor

Caramia R.

• Department of Industrial and Information Engineering, University of Pavia 27100 Pavia, Italy

autor

Piotuch R.

• Department of Power Engineering and Electrical Drives, West Pomeranian University of Technology 70-313 Szczecin, Poland

autor

Pałka R.

• Department of Power Engineering and Electrical Drives, West Pomeranian University of Technology 70-313 Szczecin, Poland

Bibliografia

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