Sensorless vector control of induction motor using an EKF and SVPWM algorithm

This paper purposes to present a sensorless indirect field oriented control (IFOC) commanded by a space vector algorithm (SV) in goal to guarantee fast response in one hand, and to improve the dynamic performance of a three-phase squirrel cage induction motor drive (SCIM) in the other hand. This numerical algorithm is used by the pulse width modulation (PWM) in order to obtain a control sequence of the inverter switches to generate an output voltage vector that approaches as much as possible to the reference voltage vector. The global control is reinforced by an extended Kalman filter observer (EKF) for the rotor speed estimation. Simulation results show that the proposed vector control with the proposed observer and the numerical algorithm provide good performance dynamic characteristics for different operating modes. The robustness of the overall system is tested under load torque disturbance in order to show the system stability. All simulations have been realized in MatLab/Simulink.