We propose a full order Linear Time-Varying (LTV) Luenberger observer for the rotor flux estimation of an induction motor. Introducing a suitable reduced-order Linear-Time-Invariant (LTI) system that is always observable and controllable, we show that any arbitrary LTI design and its quadratic Lyapunov certificates can be lifted to the higher-order original LTV dynamics obtaining the same certificates. As a result, we show that arbitrary global uniform exponential bounds can be imposed on the estimation error, regardless of the rotor speed. Then applying a suitable order reduction technique, we build a reduced observer providing the same guarantees. We also establish interesting connections between these reduced observers and existing non-adaptive observers. We also show applications of our results when wanting to minimize the effects of measurement noise on the estimates.
Sferlazza, A., Zaccarian, L. (2016). Linear flux observers for induction motors with quadratic Lyapunov certificates. In 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE) (pp.167-172). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISIE.2016.7744884].
Linear flux observers for induction motors with quadratic Lyapunov certificates
SFERLAZZA, Antonino;
2016-01-01
Abstract
We propose a full order Linear Time-Varying (LTV) Luenberger observer for the rotor flux estimation of an induction motor. Introducing a suitable reduced-order Linear-Time-Invariant (LTI) system that is always observable and controllable, we show that any arbitrary LTI design and its quadratic Lyapunov certificates can be lifted to the higher-order original LTV dynamics obtaining the same certificates. As a result, we show that arbitrary global uniform exponential bounds can be imposed on the estimation error, regardless of the rotor speed. Then applying a suitable order reduction technique, we build a reduced observer providing the same guarantees. We also establish interesting connections between these reduced observers and existing non-adaptive observers. We also show applications of our results when wanting to minimize the effects of measurement noise on the estimates.File | Dimensione | Formato | |
---|---|---|---|
07744884.pdf
Solo gestori archvio
Descrizione: Articolo principale
Dimensione
388.29 kB
Formato
Adobe PDF
|
388.29 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.