This paper presents a new method of estimating the speed, rotor flux components, and parameters of a vector controlled induction motor (IM) using an extended Kalman filter. The estimates are obtained by only measuring the line voltages and currents of the machine. The estimated speed and flux are used for vector control and overall speed control. The online updating of the mathematical-model parameters guarantees high accuracy in the estimation of speed and flux components at any load condition, allowing a correct vector control and an overall speed control. Computer simulations have been carried out to test the effectiveness of the proposed estimation algorithm.
Speed-Sensorless Vector Control of Induction Motors Using EKF / Salvatore, L; Stasi, Silvio; Cupertino, Francesco. - 2:(1998), pp. 994-999. (Intervento presentato al convegno ICEM '98 - International Conference on Electrical Machines tenutosi a Istambul, Turkey nel September 2-4, 1998).
Speed-Sensorless Vector Control of Induction Motors Using EKF
STASI, Silvio;CUPERTINO, Francesco
1998-01-01
Abstract
This paper presents a new method of estimating the speed, rotor flux components, and parameters of a vector controlled induction motor (IM) using an extended Kalman filter. The estimates are obtained by only measuring the line voltages and currents of the machine. The estimated speed and flux are used for vector control and overall speed control. The online updating of the mathematical-model parameters guarantees high accuracy in the estimation of speed and flux components at any load condition, allowing a correct vector control and an overall speed control. Computer simulations have been carried out to test the effectiveness of the proposed estimation algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
