Improved Speed Sensorless Control of Induction Motor Drive Using Artificial Neural Network

In recent years’ the direct torque control is widely used in induction motor drives due to its simplicity and fast torque response. However, the continuous improvements are still going on for the further developments with respect to engineering aspects, especially for sensorless speed estimation. In the present work ANN based controller is used in place of conventional PI controller in MRAS for speed estimation of direct torque controlled induction motor drive and simulated using MATLAB Simulink environment. The performance of both models is compared for various load perturbations, and it is shown that the proposed scheme works superior than the conventional one.