OPTIMIZATION OF A MODEL OF A SYNCHRONOUS MOTOR WITH PERMANENT MAGNETS TO REDUCE THE TIME TO CALCULATE THE TORQUE

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

 

 The paper considers the steps of optimization of the permanent magnet synchronous motor model to reduce the time of torque calculation. In topological optimization it is necessary to calculate the torque for each rotor topology, and as a result of the algorithm there may be more than 2000-3000 such topologies, which increases the complete calculation time up to 10-24 months even when using multi-threaded calculations, which does not allow to talk about the real practical application of the developed topological optimization, since at least 3 complete optimization cycles are necessary for exact topology determination. It is possible to reduce the calculation time by certain actions (simplifications of the geometry of motor elements, changes in the finite-element method grid, etc.), which reduce the number of finite elements of the synchronous motor model. However, when performing each of the optimization steps, it is necessary to keep in mind the accuracy of the target parameter calculation (torque); the change must not exceed 5% of the initial value. Therefore, it is important to correctly find the optimal time and accuracy for the model calculation. This algorithm and the optimization results are presented in this article.

 

Key word

 

 topological optimization, rotor topology, synchronous motor, permanent magnets, torque, motor, genetic algorithm, modification

 

References

 

  1. Dong L., Han X., Hua L. Effects of the rotation speed ratio of double eccentricity bushings on rocking tool path in a cold rotary forging press. Journal of Mechanical Science and Technology. 2015. Vol. 29. Iss. 4.
  2. Forecasting technical state and efficiency of electrical switching devices at electric complexes in oil and gas industry / T. V. Tabachnikova, E. I. Gracheva, O. V. Naumov, A. N. Gorlov // IOP Conference Series: Materials Science and Engineering, Almetyevsk, Republic of Tatarstan, 12–14 февраля 2020 года. – Almetyevsk, Republic of Tatarstan, 2020. – P. 012014. – DOI 10.1088/1757-899X/860/1/012014.
  3. Li, B.Post, V.Kunc, A. Elliott, M. Paranthaman, M. Parans Additive manufacturing of near-net-shape bonded magnets: Prospects and challenges, https://doi.org/10.1016/J.SCRIPTAMAT.2016.12.035, Published: 2017-07.
  4. 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
  5. Nemirovskiy, A. Experimental study of the relationship between the technical state of a power transformer and the parameters of the higher harmonic components of currents and voltages generated by it / A. Nemirovskiy, E. Gracheva, M. Bashirov // Sustainable Energy Systems: innovative perspectives : Conference proceedings, Saint-Petersburg, 29–30 октября 2020 года. – Saint-Petersburg: Springer, Cham, 2021. – P. 155-166. – DOI 10.1007/978-3-030-67654-4_18.
  6. Petrov, T. Modification Genetic Algorithm for Topological Optimization the Rotor of Synchronous Motors / T. Petrov, A. Safin // Lecture Notes in Civil Engineering. – 2022. – Vol. 190. – P. 151-156. – DOI 10.1007/978-3-030-86047-9_16.

 

Publication date

2023-10-27