Online rotor resistance estimation using the transient state under the speed sensorless control of induction motor

Author

Akatsu, Kan ; Kawamura, Atsuo

Author_Institution

Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan

Volume

15

Issue

3

fYear

2000

fDate

5/1/2000 12:00:00 AM

Firstpage

553

Lastpage

560

Abstract

In the speed sensorless control of the induction motor, the machine parameters (especially rotor resistance R₂) have a strong influence on the speed estimation. It is known that the simultaneous estimation of the rotor speed and R₂ is impossible in the slip frequency type vector control, because the rotor flux is constant. But the rotor flux is not always constant in the speed transient state. In this paper, the R₂ estimation in the transient state without signal injection to the stator current is proposed. This algorithm uses the least mean square algorithm and the adaptive algorithm, and it is possible to estimate R₂ exactly. This algorithm is verified by the digital simulations and experiments

Keywords

control system analysis; control system synthesis; induction motors; least mean squares methods; machine testing; machine theory; machine vector control; parameter estimation; velocity control; control design; control performance; control simulation; induction motor; least mean square algorithm; machine parameters; online rotor resistance estimation; rotor resistance; speed estimation; speed sensorless control; stator current; transient state; Adaptive algorithm; Digital simulation; Frequency estimation; Induction motors; Least mean square algorithms; Machine vector control; Rotors; Sensorless control; State estimation; Stators;

fLanguage

English

Journal_Title

Power Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0885-8993

Type

jour

DOI

10.1109/63.844516

Filename

844516