Sensorless Control of Induction Motors Using an Extended Kalman Filter and Linear Quadratic Tracking

2017

Master's thesis Renewable Energy ENE500 - University of Agder 2017 Conventional sensorless controls for induction motors require two PID regulators and precise gain turning. This thesis presents a sensorless control for induction motors using an extended Kalman filter (EKF) and linear quadratic tracking (LQT). The proposed method requires only a single controller and no physical velocity sensor