Online identification of parameters defining the saturation characteristics of induction machines

Mikaela Ranta; Marko Hinkkanen

doi:10.1109/ICElMach.2012.6350002

Online identification of parameters defining the saturation characteristics of induction machines

Not published at VTT

Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The induction machine model parameters need to be estimated with good accuracy to ensure a good performance of the drive. Due to the magnetic saturation, the inductances vary as a function of the flux level. The magnetizing curve can be identified at standstill, but more accurate results are obtained if the identification is performed as the machine is running. In this paper, the magnetic saturation is modelled using a power function, and adaptation laws for the function parameters are proposed. The adaptation method is implemented in the control system of a sensorless drive. Experimental results on a 2.2-kW machine show that the identification of the stator inductance is rapid and the accuracy is good.

Original language	English
Title of host publication	2012 XXth International Conference on Electrical Machines
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1027-1033
Number of pages	7
ISBN (Print)	978-1-4673-0141-1
DOIs	https://doi.org/10.1109/ICElMach.2012.6350002
Publication status	Published - 5 Sept 2012
MoE publication type	A4 Article in a conference publication
Event	XXth International Conference on Electrical Machines - Marseille, France Duration: 2 Sept 2012 → 5 Sept 2012

Conference

Conference	XXth International Conference on Electrical Machines
Abbreviated title	ICEM 2012
Country/Territory	France
City	Marseille
Period	2/09/12 → 5/09/12

Keywords

Inductance
Stators
Saturation magnetization
Rotors
Mathematical model
Adaptation models
Induction machines

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10.1109/ICElMach.2012.6350002

Cite this

@inproceedings{074a32630c154545995f1fccb9c26270,

title = "Online identification of parameters defining the saturation characteristics of induction machines",

abstract = "The induction machine model parameters need to be estimated with good accuracy to ensure a good performance of the drive. Due to the magnetic saturation, the inductances vary as a function of the flux level. The magnetizing curve can be identified at standstill, but more accurate results are obtained if the identification is performed as the machine is running. In this paper, the magnetic saturation is modelled using a power function, and adaptation laws for the function parameters are proposed. The adaptation method is implemented in the control system of a sensorless drive. Experimental results on a 2.2-kW machine show that the identification of the stator inductance is rapid and the accuracy is good.",

keywords = "Inductance, Stators, Saturation magnetization, Rotors, Mathematical model, Adaptation models, Induction machines",

author = "Mikaela Ranta and Marko Hinkkanen",

year = "2012",

month = sep,

day = "5",

doi = "10.1109/ICElMach.2012.6350002",

language = "English",

isbn = "978-1-4673-0141-1",

pages = "1027--1033",

booktitle = "2012 XXth International Conference on Electrical Machines",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "XXth International Conference on Electrical Machines, ICEM 2012 ; Conference date: 02-09-2012 Through 05-09-2012",

}

Ranta, M & Hinkkanen, M 2012, Online identification of parameters defining the saturation characteristics of induction machines. in 2012 XXth International Conference on Electrical Machines., 6350002, IEEE Institute of Electrical and Electronic Engineers, pp. 1027-1033, XXth International Conference on Electrical Machines, Marseille, France, 2/09/12. https://doi.org/10.1109/ICElMach.2012.6350002

Online identification of parameters defining the saturation characteristics of induction machines. / Ranta, Mikaela; Hinkkanen, Marko.
2012 XXth International Conference on Electrical Machines. IEEE Institute of Electrical and Electronic Engineers, 2012. p. 1027-1033 6350002.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Online identification of parameters defining the saturation characteristics of induction machines

AU - Ranta, Mikaela

AU - Hinkkanen, Marko

PY - 2012/9/5

Y1 - 2012/9/5

N2 - The induction machine model parameters need to be estimated with good accuracy to ensure a good performance of the drive. Due to the magnetic saturation, the inductances vary as a function of the flux level. The magnetizing curve can be identified at standstill, but more accurate results are obtained if the identification is performed as the machine is running. In this paper, the magnetic saturation is modelled using a power function, and adaptation laws for the function parameters are proposed. The adaptation method is implemented in the control system of a sensorless drive. Experimental results on a 2.2-kW machine show that the identification of the stator inductance is rapid and the accuracy is good.

AB - The induction machine model parameters need to be estimated with good accuracy to ensure a good performance of the drive. Due to the magnetic saturation, the inductances vary as a function of the flux level. The magnetizing curve can be identified at standstill, but more accurate results are obtained if the identification is performed as the machine is running. In this paper, the magnetic saturation is modelled using a power function, and adaptation laws for the function parameters are proposed. The adaptation method is implemented in the control system of a sensorless drive. Experimental results on a 2.2-kW machine show that the identification of the stator inductance is rapid and the accuracy is good.

KW - Inductance

KW - Stators

KW - Saturation magnetization

KW - Rotors

KW - Mathematical model

KW - Adaptation models

KW - Induction machines

U2 - 10.1109/ICElMach.2012.6350002

DO - 10.1109/ICElMach.2012.6350002

M3 - Conference article in proceedings

SN - 978-1-4673-0141-1

SP - 1027

EP - 1033

BT - 2012 XXth International Conference on Electrical Machines

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - XXth International Conference on Electrical Machines

Y2 - 2 September 2012 through 5 September 2012

ER -

Online identification of parameters defining the saturation characteristics of induction machines

Abstract

Conference

Keywords

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