Simulation and real-time implementation of sensorless field oriented control of induction motor at healthy state using rotor cage model and EKF

The vector control has been designed in order to achieve decoupled control between rotor flux and electromagnetic torque. The extended Kalman filter is a sensorless algorithm which allows estimating the state parameters and the rotor speed of the induction motor. This paper presents a sensorless control algorithm for induction motor drive. It consists of field oriented control and extended Kalman filter used for rotor speed estimation. The performances of this algorithm are tested and validated in simulation and experimental test bench in Matlab/Simulink environment with Real-Time interface based on the dSpace 1104.