Abstract
The performance of indirect vector control depends upon accurate
prediction of the motor slip angular frequency (omega(s)) for the
demand torque. The required slip gain depends upon the rotor time
constant of the motor (T-r). This value varies significantly over the
operating temperature range and saturation level of a typical motor.
This variation, if not compensated for, results in a significant
degradation in torque production from a vector control system. The
saturation effect can be compensated by an adaptive flux model if
precise knowledge of the induction motor magnetizing curve is
available. The aim of this paper is to present the application of an
advanced system identification methodology enabling the offline
estimation of the magnetizing curve (dynamic and static inductance) of
induction motors.
prediction of the motor slip angular frequency (omega(s)) for the
demand torque. The required slip gain depends upon the rotor time
constant of the motor (T-r). This value varies significantly over the
operating temperature range and saturation level of a typical motor.
This variation, if not compensated for, results in a significant
degradation in torque production from a vector control system. The
saturation effect can be compensated by an adaptive flux model if
precise knowledge of the induction motor magnetizing curve is
available. The aim of this paper is to present the application of an
advanced system identification methodology enabling the offline
estimation of the magnetizing curve (dynamic and static inductance) of
induction motors.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Energy Conversion |
| Publication status | Published - 1 Mar 1998 |