Chaos Annihilation-Based on Genetic Algorithms in a Non-smooth Air-gap Permanent Magnet Synchronous Motor Embedded in the Microcontroller

This paper is devoted to the dynamical probing, microcontroller execution, and chaos annihi-lation based on genetic algorithms (GAs) in a non-smooth air-gap permanent magnet synchronous motor(NSAGPMSM) without external disturbances. The numerical simulations of NSAGPMSM in the absence ofexternal disturbances reveal the existence of two different shapes of chaotic characteristics, reverse perioddoubling and periodic characteristics. The dynamical characteristics are certified by the microcontroller execu-tion of NSAGPMSM in the absence of external disturbances. By optimizing the parameters of NSAGPMSM inthe absence of external disturbances, thanks to the convergence of the objective function and its convergencerate, it is proven that GAs is effective in optimizing system parameters, leading to annihilation of chaos in thesystem to one of its three steady states.