2023/10/02 by Adán Reyes, André Nasr, Reyes, Adan Reyes +5
Engineering · #Electric Motor Design and Analysis #Magnetic Bearings and Levitation Dynamics #Sensorless Control of Electric Motors
paper · pdf · doi:10.48550/arxiv.2310.01033
In this article, three optimization approaches are exploited to improve the\nperformance of a permanent magnet-assisted synchronous reluctance machine: a\nfirst optimization using fixed substitution models and two Bayesian\noptimization approaches based on adaptive substitution models. The results show\nthat Bayesian approaches lead to machines with better performance using the\nsame computation time (same number of finite element simulations). Unlike\noptimization methodologies based on fixed substitution models, Bayesian\napproaches provide solutions directly based on finite element simulations and,\ntherefore, do not require verification.\n