Open AccessElectromagnetic–AI-Based Design Optimization of SynRM Drives
Author(s) -
A.A. Arkadan,
N. Al Aawar
Publication year - 2021
Publication title -
applied computational electromagnetics society journal
Language(s) - English
Resource type - Journals
eISSN - 1943-5711
pISSN - 1054-4887
DOI - 10.13052/2021.aces.j.361103
Subject(s) - particle swarm optimization , taguchi methods , finite element method , reduction (mathematics) , computer science , engineering , control engineering , algorithm , mathematics , machine learning , geometry , structural engineering
Characterization modules in electric machines and drives design optimization environments typically involve the use of electromagnetic finite element-state space models that require large number of iterations and computational time. It is shown in this work that the utilization of a Taguchi orthogonal arrays method in conjunction with a particle swarm optimization (PSO), search algorithm in a design optimization case study of a synchronous reluctance motor (SynRM) drive, resulted in about 80% reduction of computational time.