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

Kan Akatsu; Atsuo Kawamura

doi:10.1109/63.844516

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

Kan Akatsu, Atsuo Kawamura

Research output: Contribution to journal › Article › peer-review

70 Citations (Scopus)

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.

Original language	English
Pages (from-to)	553-560
Number of pages	8
Journal	IEEE Transactions on Power Electronics
Volume	15
Issue number	3
DOIs	https://doi.org/10.1109/63.844516
Publication status	Published - 2000 Dec 3
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/63.844516

Cite this

@article{cbad7f5fdf8f4d59a168316342691e64,

title = "Online rotor resistance estimation using the transient state under the speed sensorless control of induction motor",

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.",

author = "Kan Akatsu and Atsuo Kawamura",

year = "2000",

month = dec,

day = "3",

doi = "10.1109/63.844516",

language = "English",

volume = "15",

pages = "553--560",

journal = "IEEE Transactions on Power Electronics",

issn = "0885-8993",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - Online rotor resistance estimation using the transient state under the speed sensorless control of induction motor

AU - Akatsu, Kan

AU - Kawamura, Atsuo

PY - 2000/12/3

Y1 - 2000/12/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0033702996&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033702996&partnerID=8YFLogxK

U2 - 10.1109/63.844516

DO - 10.1109/63.844516

M3 - Article

AN - SCOPUS:0033702996

SN - 0885-8993

VL - 15

SP - 553

EP - 560

JO - IEEE Transactions on Power Electronics

JF - IEEE Transactions on Power Electronics

IS - 3

ER -

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

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this