2022/11/29 by Adán Reyes, Reyes, Adán, Delphine Sinoquet +5
Decision Sciences · Engineering · #Electric Motor Design and Analysis #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Non-Destructive Testing Techniques #Optimization and Control (math.OC) #Probabilistic and Robust Engineering Design
paper · doi:10.48550/arxiv.2211.16136
openalex publication_date 2022/11/29 · openalex created_date 2022/12/11 · openalex updated_date 2026/07/28
In this paper, deterministic and robust design optimizations of a permanent magnet assisted synchronous reluctance machine were performed to increase its mean torque while reducing torque ripple. These optimizations were carried out using a surrogate model based on 2-D finite element simulations. The results of the robust optimizations, which considered manufacturing uncertainties, were compared to the deterministic optimization. The robust designs have shown not only good mean torque and torque ripple performances, but they have also shown improved robustness against design parameters uncertainties.