Original title: Preference Based And Ideal Multi-Objective Optimization Applied On Hightorque Ferrite Assisted Synchronous Reluctance Machine
Authors: Knebl, Ladislav
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper introduces comparison of optimization algorithms applied on high-torqueferrite-assisted synchronous reluctance machine. The comparison is focused not solely on two algorithmswithin the same multi-objective optimization approach - preference based or ideal, but also oncomparison of these two approaches. The genetic algorithm and self-organizing migrating algorithmin both approaches are used to find optimal solution. The optimization goal is an optimal parametercombination to achieve the highest torque and power factor, while developing the lowest torque ripple.The optimized design will be evaluated by the 2D finite element analysis in steady-state analysis.
Keywords: finite element analysis; optimization; steady-state; synchronous reluctance motor
Host item entry: Proceedings II of the 27st Conference STUDENT EEICT 2021: Selected papers, ISBN 978-80-214-5943-4

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/11012/200848

Permalink: http://www.nusl.cz/ntk/nusl-447892


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