Chaos and Complexity Analysis of a Discrete Permanent-Magnet Synchronous Motor System

الملخص EN

In this paper, a spectral entropy algorithm has been used successfully for complexity measure of a discrete permanent-magnet synchronous motor (PMSM) system.

Firstly, the discrete PMSM system is achieved using the forward Euler scheme.

Secondly, by adopting the bifurcation diagram, phase portraits, 0-1 test, and largest Lyapunov exponent, the chaotic dynamics of the discrete PMSM system are analyzed.

The complexity of the discrete PMSM system is discussed by employing the spectral entropy algorithm.

It shows that the spectral entropy complexity analysis is an efficient tool to study chaotic dynamics.

Finally, we illustrate this result through numerical experiments.