Neuroadaptive Robust Speed Control for PMSM Servo Drives with Rotor Failure

In this paper, a neuroadaptive robust trajectory tracking controller is utilized to reduce speed ripples of permanent magnet synchronous machine (PMSM) servo drive under the presence fracture or fissure in rotor and external disturbances. The dynamics equations PMSM with unknown frictions are described detail. Due inherent nonlinearities dynamic model, addition internal disturbances; traditional PI fixed parameters cannot correctly regulate performance these scenarios. Hence, (NRC) based on category on-line trained artificial neural network used for purpose enhance robustness adaptive abilities controller. moth-flame optimization algorithm provides optimal weight NRC three controllers (off-line) drive. evaluated fracture, frictions, load disturbances, likewise result outcomes contrasted optimized PID an linear state feedback method.