An optimal efficiency control of reluctance synchronous motor using neural network with direct torque control

摘要: This paper presents an implementation of efficiency optimization reluctance synchronous motor (RSM) using a neural network (NN) with direct torque control (DTC). The equipment circuit in RSM, which consider iron losses is theoretically analyzed and the optimal current ration between exiting analytically derived. For dynamics can be maintained even controlling flux level because directly proportional to stator unlike induction motor. In order drive RSM at maximum good response, NN used. experimental results are presented validate applicability proposed method. developed system show high dynamic response features 1.0 [kW] having 2.57 ratio d/q.