Title :
A new EKF-based algorithm for flux estimation in induction machines
Author :
Salvatore, Luigi ; Stasi, Silvio ; Tarchioni, Lea
Author_Institution :
Dept. of Electrotech. & Electron., Polytech. of Bari, Italy
fDate :
10/1/1993 12:00:00 AM
Abstract :
A reduced-order algorithm for estimating the rotor flux components of induction motors with schemes such as field-oriented control is described. The algorithm is based on the extended Kalman filter (EKF) theory and estimates the desired quantities online using only measurements of the stator voltages and currents and the rotor speed. The online adaptation of the inverse rotor time constant makes it possible to obtain very accurate estimates of rotor flux components, in spite of temperature and magnetic saturation effects. The algorithm order reduction decreases the computational complexity and makes the proposed estimator superior to others based on EKF theory
Keywords :
Kalman filters; induction motors; machine theory; magnetic flux; rotors; extended Kalman filter; flux estimation; induction machines; induction motors; magnetic saturation; reduced-order algorithm; rotor flux; stator currents; stator voltages; temperature effects; Current measurement; Estimation theory; Induction machines; Induction motors; Magnetic field measurement; Rotors; Stators; Temperature; Velocity measurement; Voltage;
Journal_Title :
Industrial Electronics, IEEE Transactions on
