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. (2005). A new adaptive approach for on-line parameter and state estimation of induction motor. CONTROL ENGINEERING PRACTICE, 13, 81-94 [10.1016/j.conengprac.2004.02.008].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
