This paper deals with robustness analysis of Extended Kalman Filters (EKFs) for sensorless motion control of induction motors. Analysis is carried out by means of simulation experiments considering a conventional EKF, in which system and measurement noise covariance matrices are constant, and an adaptive EKF in which the system noise covariance matrix is updated on-line using a PID-type algorithm driven by the stator current estimation errors.

Alonge, F., D'Ippolito, F. (2010). Robustness Analysis of an Extended Kalman Filter for Sensorless Control of Induction Motors. In Proceedings of IEEE International Symposium on Industrial Electronics (ISIE), 2010 (pp.3257-3263). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISIE.2010.5637887].

Robustness Analysis of an Extended Kalman Filter for Sensorless Control of Induction Motors

ALONGE, Francesco;D'IPPOLITO, Filippo
2010-01-01

Abstract

This paper deals with robustness analysis of Extended Kalman Filters (EKFs) for sensorless motion control of induction motors. Analysis is carried out by means of simulation experiments considering a conventional EKF, in which system and measurement noise covariance matrices are constant, and an adaptive EKF in which the system noise covariance matrix is updated on-line using a PID-type algorithm driven by the stator current estimation errors.
Settore ING-INF/04 - Automatica
lug-2010
IEEE International Symposium on Industrial Electronics (ISIE), 2010
Bari
4-7 luglio 2010
7
A stampa
Alonge, F., D'Ippolito, F. (2010). Robustness Analysis of an Extended Kalman Filter for Sensorless Control of Induction Motors. In Proceedings of IEEE International Symposium on Industrial Electronics (ISIE), 2010 (pp.3257-3263). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISIE.2010.5637887].
Proceedings (atti dei congressi)
Alonge, F; D'Ippolito, F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/56233
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