Chaos suppression, synchronization, and antisynchronization in a synchronous reluctance motor implemented on a microcontroller
Synchronous reluctance motors (SRMs) are increasingly attractive for industrial drive applications because of their simple construction, robustness, and favorable efficiency characteristics. However, the nonlinear and time-varying nature of their electromechanical dynamics can give rise to complex behaviors, including chaotic oscillations and coexisting attractors, particularly under specific operating conditions and load torques. Such nonlinear phenomena may adversely affect the stability, performance, and controllability of the motor. Therefore, understanding and controlling chaos in synchronous reluctance motor systems, as well as establishing reliable synchronization mechanisms, is important for improving dynamic performance and practical implementation. This paper is devoted to the microcontroller execution, chaos suppression, synchronization, and antisynchronization in a synchronous reluctance motor with load torque (SRMLT). Microcontroller implementation of the SRMLT successfully verified the chaos and coexisting characteristics found in numerical simulations under certain conditions. By optimizing parameter values via a genetic algorithm, the chaotic trajectories of the SRMLT were controlled to one of its stable stationary states. Chaos synchronization of unidirectional coupled identical SRMLTs using the linear state-error feedback method was numerically demonstrated over a specific range of coupling strengths. Analytical calculations and numerical simulations demonstrated chaos synchronization and antisynchronization between identical drive and response SRMLTs using the nonlinear feedback method.

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