A novel adaptive observer is proposed to perform on-line estimation of both state and parameters of the electrical part of induction motors. The rotor mechanical speed and the stator currents/voltages are assumed to be measured. A particular nonminimal state representation of the machine electrical model is derived and exploited to build the adaptive observer, based on a series–parallel architecture. Lyapunov design is used to develop the adaptation law of the proposed solution. Both simulation results and experimental tests confirm the good performances of the technique.

A new adaptive approach for on-line parameter and state estimation of induction motor

CASTALDI, PAOLO;GERI, WALTER;MONTANARI, MARCELLO;TILLI, ANDREA
2005

Abstract

A novel adaptive observer is proposed to perform on-line estimation of both state and parameters of the electrical part of induction motors. The rotor mechanical speed and the stator currents/voltages are assumed to be measured. A particular nonminimal state representation of the machine electrical model is derived and exploited to build the adaptive observer, based on a series–parallel architecture. Lyapunov design is used to develop the adaptation law of the proposed solution. Both simulation results and experimental tests confirm the good performances of the technique.
CASTALDI P.; GERI W.; MONTANARI M.; TILLI A.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/2627
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