NEURO DIRECT TORQUE CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR WITH GENETIC ALGORITHM SPEED CONTROLLER

In recent years, permanent magnet synchronous motors (PMSM) have gained variety industrial applications, because of simple structures, high ef ficiency and ease of maintenance. But these motors have a nonlinear mathematical model. To resolve this pro blem several studies have suggested the application of vector control (VC) and direct torque control (DTC) with soft-computing (SC) technique. This paper presents neuro direct torque control (NDTC) of PMSM using genetic algorithm (GA) speed controller. The proposed method effectiveness has been verified by computer simulations using Matlab/Simulink®. These results are compared with the ones obtained with a classical DTC using PI speed controller.