Meta-Heuristic Based Design and Optimization of Double Stator-Single Rotor Axial-Flux Induction Generator


Ergun B. E., Ozmen T., Akyildiz A., Goksun B., Gülbahçe M. O.

2025 IEEE International Electric Machines and Drives Conference, IEMDC 2025, Texas, Amerika Birleşik Devletleri, 18 - 21 Mayıs 2025, ss.1323-1327, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/iemdc60492.2025.11060987
  • Basıldığı Şehir: Texas
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.1323-1327
  • Anahtar Kelimeler: Axial-flux induction generator, grey-wolf optimizer, meta-heuristic algorithm, multi-objective
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

In this paper, the design and optimization of a Double Stator-Single Rotor Axial-Flux Induction Generator (DSSR-AFIG), specifically for low-power wind turbine applications, have been presented. By specifying a 8-kW, 400V/50Hz design, the research utilizes Multi-Objective Grey Wolf Optimization (MOGWO) to fine-tune the generator's geometric parameters, including the dimensions of stator and rotor slots. Different designs were examined by changing the weights of the objective functions of the optimization. First, a DSSR-AFIG design targeting 80% total loss reduction and 20% volume minimization, then a DSSR-AFIG design targeting 80% volume minimization and 20% total loss minimization, and finally a DSSR-AFIG design accepting both objective functions with equal weights were obtained. The efficiencies and power density values of these designs were compared with each others. Additionally, the consistency and accuracy of the established algorithm were also proven by the performed FEAs.