Original title: Optimization Of Interior Permanent Magnet Synchronous Motor Using Evolutionary Optimization Algorithm
Authors: Knebl, Ladislav
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The development of the interior permanent magnet synchronous motor has drawn a big interest over the last decade. This is due to the use of this kind of machine in the automotive industry, thanks to the machine high efficiency and high overload capability compare to other machine types. Using artificial intelligence or evolutionary optimization algorithms is possible to optimize the motor with maximum efficiency, lowest torque ripple and highest average torque, because a huge ammount and variety of geometry combinations are tested. This paper is focused on the overview of generally used optimization algorithms and optimization is demonstrated on Self-Organizing Migrating Algorithm (SOMA). Cost function and weight coefficients are also presented and used for optimization.
Keywords: evolutionary optimization algorithm; Finite element analysis; Interior permanent magnet; Maxwell; Optimization; SOMA
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186755

Permalink: http://www.nusl.cz/ntk/nusl-414657

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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
 Record created 2020-07-11, last modified 2020-07-11

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