Rotor Speed and Flux Estimation of a Doubly-fed Induction Machine Using Extended Kalman Filter

Abstract

This paper uses Extended Kalman Filtering method (EKF) to estimate the rotor speed and flux of a Doubly-fed Induction Generator (DFIG) to be used in Wind Turbines (WTs). DFIGs are widely used in WTs because they can generate an electric power of constant voltage amplitude and frequency which allow a direct connection between the WTs and the ac power network. A DFIG modeling in the (dq) reference frame is presented and a brief description of EKF algorithm is described to estimate the rotor speed and flux. Simulations results are shown and discussed.