Paper Title
Sensorless Control Of Stepper Motor Using Extended Kalman Filter

Abstract
Stepper Motors are used in the fields of Navigation, automation and control. Speed control of stepper motor using sensors has proved to be costly and a simpler and cost effective approach is required. In this work we concentrate on using a extended Kalman Filter for the speed control of stepper motor.EKF is applied to stochastic non-linear time varying systems. Extended Kalman filter (EKF) is used because it is sturdy to external disturbances and measures non-measured states and parameters.EKF uses the state estimation technique by analyzing the currents in the windings and re-constructs the states. It provides good stabilization and a low cost alternative