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Chapter

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Title

The hybrid algorithms in constrained optimization of the PM motors

Authors

[ 1 ] Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies

Year of publication

2023

Chapter type

paper

Publication language

english

Keywords
EN
  • hybrid optimization algorithms
  • constrained optimization
  • line-start permanent magnet motor
Abstract

EN In this paper, the different hybrid optimization algorithms have been applied to the constrained optimization of the line-start permanent magnet synchronous motor. The optimal results for the hybrid Cuckoo Search and hybrid Grey Wolf Optimization have been compared. In the primary objective function, the parameters describing motor parameters in the steady-state have been included. Moreover, the non-linear constraint function has been taken into account. The optimization procedures have been elaborated in the Delphi and Matlab environments. The mathematical model of the line-start permanent magnet motor has been developed in Maxwell environment.

Pages (from - to)

1 - 2

URL

https://infologic.design/CEM2023/CEM%202023_Digest_id-33.pdf

Book

11th International Conference on Computation in Electromagnetics

Presented on

11th International Conference on Computation in Electromagnetics, 11-14.04.2023, Cannes, France

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