TUNING THE STATOR RESISTANCE OF INDUCTION-MOTORS USING ARTIFICIAL NEURAL-NETWORK

Tuning the stator resistance of induction motors is very important, es pecially when it is used to implement direct torque control (DTC) in w hich the stator resistance is a main parameter, In this paper, an arti ficial network (ANN) is used to accomplish tuning of the stator resist ance of an induction motor, The parallel recursive prediction error an d backpropagation training algorithms were used in training the neural network for the simulation and experimental results, respectively, Th e neural network used to tune the stator resistance was trained on-lin e, making the DTC strategy more robust and accurate, Simulation result s are presented for three different neural-network configurations show ing the efficiency of the tuning process, Experimental results were ob tained for the one of the three neural-network configuration, Both sim ulation and experimental results showed that the ANN have tuned the st ator resistance in the controller to track actual resistance of the ma chine.