ESTIMATION OF STATOR RESISTANCE OF INDUCTION MOTOR FOR DIRECT TORQUE CONTROL SCHEME USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS

Abstract: Direct torque control (DTC) is a relatively novel induction motor control method, that is relatively easy to implement and that enables high performance to be achieved. However, the conventional DTC technique has some drawbacks such as large torque ripple in the low speed region according to the change of motor parameters. The sensitivity of the DTC to temperature variations, leading to stator resistance changes, is eliminated by online estimation of stator resistance. This paper describes an adaptive Neuro-fuzzy method of stator-resistance estimation of an Induction motor. In this paper, an estimator is designed through Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for stator resistance estimation with reference to the temperature. Better estimation of stator resistance results in the improvement of Induction Motor performance using DTC, thereby facilitating torque ripple minimization