Paper Title
Sensorless Speed Control of Induction Motor by Artificial Neural Network

This paper proposes an advancement of Artificial Neural Network (ANN) for Speed Estimation of Sensorless Speed control of Induction Motor (IM). Stator voltages and the stator currents are considered as input parameters for ANN to output the rotor speed of IM. The ANN is trained first by considering the different loads of IM to improve the accuracy of speed measurement and is made independent of stator resistance variation. The proposed implementation is then validated through the MATLAB/SIMULINK environment. The results show the significant improvement as compared to the convention speed estimation methods and are independent from parameter and load variations. Index Terms- Artificial neural networks, induction motors, sensorless control.