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Research Article | Open Access |

Optimal Control and Design of Electrical Machines

Author 1: Wissem BEKIR Author 2: Lilia EL AMRAOUI Author 3: Frédéric GILLON
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 9 · Published 2019

DOI: 10.14569/IJACSA.2019.0100921

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Abstract

This paper presents a global optimization approach aiming to improve the energy efficiency of electrical machines. The process is made on a hybrid stepper motor allowing to simultaneously optimize design and command. This approach is axed around Pontryagin's maximum principle, which is applied to a magnetodynamic model based on permeances network model. The originality of the proposed approach is to obtain in the same process, the minimization of the energy by optimal control and the minimization of the energy by optimal sizing.

Keywords

Optimal control optimal sizing Pontryagin’s maximum principle permeances network hybrid stepper motor energetic efficiency

How to Cite this Article

BEKIR, W., AMRAOUI, L. E., & GILLON, F. (2019). Optimal Control and Design of Electrical Machines. International Journal of Advanced Computer Science and Applications, 10(9). https://doi.org/10.14569/IJACSA.2019.0100921

BEKIR, Wissem, et al.. "Optimal Control and Design of Electrical Machines." International Journal of Advanced Computer Science and Applications, vol. 10, no. 9, 2019, https://doi.org/10.14569/IJACSA.2019.0100921.

@article{BEKIR2019,
  title     = {Optimal Control and Design of Electrical Machines},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {9},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Wissem BEKIR and Lilia EL AMRAOUI and Frédéric GILLON},
  doi       = {10.14569/IJACSA.2019.0100921},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100921}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026
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