OVERVIEW OF MODELS, ALGORITHMS, METHODS FOR DESIGNING AND OPTIMIZING ELECTRIC MACHINES

Authors 

       Safin A.R. – Doctor of Technical Sciences, Associate Professor of the Department of Power Supply of Industrial Enterprises (EPP), Kazan State Power Engineering University (KSPEU)  Kazan, Republic of Tatarstan, Russia, sarkazan@bk.ru.

     Petrov T.I. – Assistant of the Department of Power Supply of Industrial Enterprises (EPP), Kazan State Power Engineering University (KSPEU), Kazan, Republic of Tatarstan, Russia, tobac15@mail.ru.

Annotation

     Electrical machines are at the heart of industrial equipment and systems that must comply with various technical requirements. Consequently, their design optimization process becomes more and more complex as more areas and constraints are involved such as electromagnetism, strength analysis, and thermal problems. The purpose of this article is to provide an overview of methods for optimizing the design of electrical machines, including methods and models for design analysis, optimization models, algorithms and strategies.

Key words 

       electrical machines, design, multilevel optimization; multicriteria optimization.

Language

english

Type

energetics

Year

2020

Page

29-30

References

  1. Safin, A.R. Development of a method for topological optimization of electric machines based on a genetic algorithm / A.R. Safin, R.R. Khusnutdinov, A.M. Kopylov, V.V. Maksimov, A.N. Tsvetkov, R.R. Gibadullin, T.I. Petrov // Bulletin of KSPEU. –2018. –№4 (40). -FROM. 77.
  2. Safin A.R., Ivshin I.V., Gracheva E.I., Petrov T.I. Development of a mathematical model of an autonomous power supply with a free-piston engine based on a synchronous reciprocating electric machine with permanent magnets / Izvestiya of higher educational institutions. Energy problems. 2020.Vol. 22.No. 1.P. 38-48.Dubas, F.; Sari, A.; Hissel, D.; Espanet, C. A comparison between CG and PSO algorithms for the design of a PM motor for fuel cell ancillaries. In Proceedings of the IEEE Vehicle Power and Propulsion Conference, Harbin, China, 3–5 September 2008.
  3. Huang, Z.; Fang, J. Multiphysics Design and Optimization of High-Speed Permanent-Magnet Electrical Machines for Air Blower Applications. IEEE Trans. Ind. Electron. 2016, 63.
  4. Krasopoulos, C.T.; Armouti, I.P.; Kladas, A.G. Hybrid Multiobjective Optimization Algorithm for PM Motor Design. IEEE Trans. Magn. 2017, 53.
  5. Kreuawan, S.; Gillon, F.; Brochet, P. Optimal design of permanent magnet motor using multidisciplinary design optimization. In Proceedings of the 18th International Conference on Electrical Machines, Pattaya, Thailand, 25–28 October 2015; pp. 1–6.
  6. Lei, G.; Liu, C.C.; Guo, Y.G.; Zhu, J.G. Multidisciplinary Design Analysis for PM Motors with Soft Magnetic Composite Cores. IEEE Trans. Magn. 2015, 51.
  7. Lei, G.; Liu, C.C.; Zhu, J.G.; Guo, Y.G. Robust multidisciplinary design optimization of PM machines with soft magnetic composite cores for batch production. IEEE Trans. Magn. 2016, 52.
  8. Lei, G.; Zhu, J.G.; Guo, Y.G. Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems; Springer-Verlag: Berlin/Heidelberg, Germany, 2016; ISBN 978-3-662-49269-7.

Date publication 

09/19/2023