Open AccessRotor Speed and Flux Estimation of a Doubly-fed Induction Machine Using Extended Kalman Filter
Author(s) -
Ahmad boussoufa,
Madjid Kidouche,
Aimad Ahriche
Publication year - 2017
Publication title -
algerian journal of signals and systems
Language(s) - English
Resource type - Journals
eISSN - 2676-1548
pISSN - 2543-3792
DOI - 10.51485/ajss.v2i4.52
Subject(s) - control theory (sociology) , extended kalman filter , rotor (electric) , kalman filter , induction generator , reference frame , flux linkage , wind power , power (physics) , voltage , computer science , engineering , frame (networking) , induction motor , physics , direct torque control , electrical engineering , telecommunications , control (management) , artificial intelligence , quantum mechanics
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.