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<p>This paper dedicates the dynamical analysis, microcontroller implementation in no-load charge synchronous reluctance motor (SRM) and chaos annihilation using genetic algorithm (GA). Periodic characteristics, period doubling towards a chaotic zone, six different types of chaotic characteristics and coexisting characteristics are found in no-load charge SRM. The dynamical characteristics encountered numerically in no-load charge SRM are ascertained thanks to the microcontroller implementation of no-load charge SRM. GA optimizes the parameters of no-load charge SRM based on the convergence of objective function, inducing the suppression of chaos encountered in the chaotic no-load charge SRM with the convergence of no-load charge SRM trajectories towards one of its fixed points.</p>

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Synchronous Reluctance Motor: Dynamical Probing, Microcontroller Implementation and Chaos Annihilation Based on Genetic Algorithm

  • 期刊论文

  • 发表日期：

    2026年6月15日

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  • Haroun Abba Labane,
  • Steve Nkengne Tchassem,
  • Buris Peggy Ndemanou,
  • Hubert Malwe Boudoue,
  • Adoum Danao Adile,
  • Adoum Kriga

摘要

This paper dedicates the dynamical analysis, microcontroller implementation in no-load charge synchronous reluctance motor (SRM) and chaos annihilation using genetic algorithm (GA). Periodic characteristics, period doubling towards a chaotic zone, six different types of chaotic characteristics and coexisting characteristics are found in no-load charge SRM. The dynamical characteristics encountered numerically in no-load charge SRM are ascertained thanks to the microcontroller implementation of no-load charge SRM. GA optimizes the parameters of no-load charge SRM based on the convergence of objective function, inducing the suppression of chaos encountered in the chaotic no-load charge SRM with the convergence of no-load charge SRM trajectories towards one of its fixed points.