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Research Article

Design optimization with genetic algorithm of open slotted axial flux permanent magnet generator for wind turbines

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Pages 423-431 | Received 06 Jan 2021, Accepted 19 Mar 2022, Published online: 04 Apr 2022

References

  • Ayçiçek, E., N. Bekiroğlu, and İ. Şenol. 2012. Optimization of rotor structure for providing minimum cogging moment by using open slot method in axial flux permanent magnet motors. Journal of Engineering and Natural Sciences Sigma 30 (4):392–401. Accessed 24 November 2020.
  • Aydın, M., R. Q. R. Qu, and T. Lipo. 2009. Cogging torque minimization technique for multiple rotor axial flux surface mounted PM motors: Alternating magnet pole-arcs in facing rotors. 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference 3 (9). Salt Lake City, USA. doi:10.1109/IAS.2003.1257555.
  • Bansode, S. N., V. M. Phalle, and S. Mantha. 2019. Taguchi approach for optimization of parameters that reduce dimensional variation in investment casting. Arcihieves of Foundary Engineering of Polish Academy of Sciences 19 (1):5–12. doi:10.24425/afe.2018.125183.
  • Daghigh, A., H. Javadi, and H. Torkaman. 2016. Design optimization of direct coupled ironless axial flux permanent magnet synchronous wind generator with low cost and high annual energy yield. IEEE Transactions on Magnetics 52 (9):1–11. doi:10.1109/TMAG.2016.2560143.
  • Dalcalı, A., K. Erol, E. Çelik, and N. Öztürk. 2020. Cogging torque minimization using skewed and seperated magnet geometries. Polytechnic of Journal 23 (1):223–30. doi:10.2339/politeknik.552273.
  • Demir, U., and C. Aküner. 2017. Using Taguchi method in defining critical rotor pole data of LSPMSM considering the power factor and efficiency. Technical Gazette 24:347–53. doi:10.17559/TV-20140714225453.
  • Demir, U., and C. Aküner. 2018. Design and optimization of in-wheel asynchronous motor for electric vehicle. Journal of the Faculty of Engineering and Architecture of Gazi University 33 (4):1517–30. doi:10.17341/gazimmfd.416448.
  • Huang, S., J. Luo, F. Leonardi, and T. A. Lipo. 1998. A general approach to sizing and power density equations for comparison of electrical machines. IEEE Transactions on Industry Applications 34 (1):92–97.
  • Hüner, E. 2020. Optimization of axial flux permanent magnet generator by Taguchi experimental method. Bulletin of the Polish Academy of Sciences: Technical Sciences 68 (3):409–19. doi:10.24425/bpasts.2020.133378.
  • Joorabian, M., and A. Z. Nejad. 2009. Design and construction of an optimum high power radial flux direct-drive PM generator for wind applications. 4th IEEE Conference on Industrial Electronics and Applications, 524–29. doi:10.1109/ICIEA.2009.5138261.
  • Kim, S., J. Y. Lee, Y. K. Kim, J. P. Hong, Y. Hur, and Y. H. Jung. 2005. Optimization for reduction of torque ripple in interior permanent magnet motor by using the Taguchi method. IEEE Transactions on Magnetics 41 (5). doi: 10.1109/TMAG.2005.846478.
  • Kirar, J. S., and R. K. Agrawal. 2019. Temporal event searches based on event maps and relationships. Applied Soft Computing 85:97. doi:10.1016/j.asoc.2019.105519.
  • Lok, L. C., B. Vengadaesvaran, and S. Ramesh. 2017. Implementation of hybrid pattern search–genetic algorithm into optimizing axial-flux permanent magnet coreless generator (AFPMG). Electrical Engineering 99 (2):751–61. doi:10.1007/s00202-016-0443-9.
  • Mahmoudi, A., S. Kahourzade, N. A. Rahim, and W. P. Hew. 2013. Design and analysis and prototyping of an axial-flux permanent magnet motor based on genetic algorithm and finite-element analysis. IEEE Transactions on Magnetics 49 (4):1479–92. doi:10.1109/TMAG.2012.2228213.
  • Özoğlu, Y. 2018. Genetic algorithm and fuzzy based on the Taguchi optimization to improve the torque behavior of an outer-rotor permanent magnet machine. Journal of Science 31 (1):82–98. Accessed 24 November 2020.
  • Rahman, M. M., A. G. M. B. Mustayen, S. Mekhilef, and R. Saidur. 2015. The optimization of solar drying of grain by using a genetic algorithm. International Journal of Green Energy 12 (12):1222–31. doi:10.1080/15435075.2014.890106.
  • Santolo Meo, S., A. Zohoori, and A. Vahedi. 2016. Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi objective particle swarm optimization hybrid approach. Energy Conversion and Management 110:230–39. doi:10.1016/j.enconman.2015.11.062.
  • Shirazi, A. N., B. Yousefi, S. A. Gholamian, and S. Rashidaee. 2013. Aplication of Taguchi experiment design for decrease of cogging torque in permanent magnet motors. International Journal on Computational Sciences and Applications IJCSA 3 (2):31–38. doi:10.5121/ijcsa.2013.3204.
  • Smolen, A., and M. Golebiowski. 2018. Computationally efficient method for determining the most important electrical parameters of axial field permanent magnet machine. Bulletin of the Polish Academy of Sciences: Technical Sciences 66 (6):947–59. doi:10.24425/bpas.2018.125943.
  • Taran, N., and M. Ardebili. 2014. A Novel approach for efficiency and power density optimization of an axial flux permanent magnet generator through genetic algorithm and finite element analysis. IEEE 23rd International Symposium on Industrial Electronics 33 (4):709–14. Istanbul, Turkey. doi:10.1109/ISIE.2014.6864699.
  • Yanting, Z., W. Yanan, K. Wang, L. Kang, F. Peng, L. Wang, and J. Pang. 2020. Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors. Applied Energy 260. doi:10.1016/j.apenergy.2019.114169.

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