Electromagnetic–AI-Based Design Optimization of SynRM Drives
DOI:
https://doi.org/10.13052/2021.ACES.J.361103Keywords:
— Design Optimization, PSO, Taguchi Algorithm, Finite Elements.Abstract
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.
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References
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