| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 229.89 KB | Adobe PDF |
Advisor(s)
Abstract(s)
This paper presents a new approach for the
simultaneous identification of rotor flux components in the
rotor reference frame and electrical parameters of a vector
controlled induction motor, for real-time implementations,
using an extended Kalman filter (EKF) and a reduced
order model structure for lower computational effort. The
proposed new method requires the measurement of motor
speed, stator voltages and currents signals. Using a motor
model structure with four electrical parameters, the
estimation of flux space phasor and rotor parameters is
presented. The estimation is subsequently further extended
to include the motor stator parameters and the results are
analyzed as well as robustness. Simulated and
experimental studies highlight the improvements brought
by this new approach, mainly, a simple and reduced state
equation, the introduced scalar output equation and lower
computational cadency, by using lower sampling
frequencies in the proposed rotor reference frame.
Description
Keywords
Citation
Leite, Vicente; Araújo, R.; Freitas, D. (2002)- Flux and parameters identification of vector-controlled induction motor in the rotor reference frame. In 7th. International Workshop on Advanced Motion Control. Maribor, Eslovénia.