On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors

Duy C. Huynh; Matthew W. Dunnigan; Stephen J. Finney

doi:10.1109/PECON.2010.5697624

On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors

Duy C. Huynh, Matthew W. Dunnigan, Stephen J. Finney

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 Citations (Scopus)

Abstract

This paper proposes a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors for on-line parameter estimation of an induction machine (IM). The regressive mathematical model of the IM is also introduced which is simple and appropriate for online parameter estimation. The estimator inputs using the proposed RLS algorithm are easily measurable variables such as the stator voltages and currents as well as the rotor speed of the IM. The simulation results obtained compare the estimated parameters with the IM parameters achieved using other RLS algorithms such as a standard RLS algorithm and a RLS with a constant forgetting factor. The comparison shows that the proposed RLS algorithm is better than others for on-line parameter estimation of the IM. ©2010 IEEE.

Original language	English
Title of host publication	PECon2010 - 2010 IEEE International Conference on Power and Energy
Pages	444-449
Number of pages	6
DOIs	https://doi.org/10.1109/PECON.2010.5697624
Publication status	Published - 2010
Event	2010 IEEE International Conference on Power and Energy - Kuala Lumpur, Malaysia Duration: 29 Nov 2010 → 1 Dec 2010

Conference

Conference	2010 IEEE International Conference on Power and Energy
Abbreviated title	PECon2010
Country/Territory	Malaysia
City	Kuala Lumpur
Period	29/11/10 → 1/12/10

Keywords

Induction machine
Parameter estimation
Recursive least-squares algorithms

Access to Document

10.1109/PECON.2010.5697624

Cite this

@inproceedings{26746c769a5747aea3cb52f5809e0967,

title = "On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors",

abstract = "This paper proposes a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors for on-line parameter estimation of an induction machine (IM). The regressive mathematical model of the IM is also introduced which is simple and appropriate for online parameter estimation. The estimator inputs using the proposed RLS algorithm are easily measurable variables such as the stator voltages and currents as well as the rotor speed of the IM. The simulation results obtained compare the estimated parameters with the IM parameters achieved using other RLS algorithms such as a standard RLS algorithm and a RLS with a constant forgetting factor. The comparison shows that the proposed RLS algorithm is better than others for on-line parameter estimation of the IM. {\textcopyright}2010 IEEE.",

keywords = "Induction machine, Parameter estimation, Recursive least-squares algorithms",

author = "Huynh, {Duy C.} and Dunnigan, {Matthew W.} and Finney, {Stephen J.}",

year = "2010",

doi = "10.1109/PECON.2010.5697624",

language = "English",

isbn = "9781424489466",

pages = "444--449",

booktitle = "PECon2010 - 2010 IEEE International Conference on Power and Energy",

note = "2010 IEEE International Conference on Power and Energy, PECon2010 ; Conference date: 29-11-2010 Through 01-12-2010",

}

Huynh, DC, Dunnigan, MW & Finney, SJ 2010, On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors. in PECon2010 - 2010 IEEE International Conference on Power and Energy. pp. 444-449, 2010 IEEE International Conference on Power and Energy, Kuala Lumpur, Malaysia, 29/11/10. https://doi.org/10.1109/PECON.2010.5697624

On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors. / Huynh, Duy C.; Dunnigan, Matthew W.; Finney, Stephen J.
PECon2010 - 2010 IEEE International Conference on Power and Energy. 2010. p. 444-449.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors

AU - Huynh, Duy C.

AU - Dunnigan, Matthew W.

AU - Finney, Stephen J.

PY - 2010

Y1 - 2010

N2 - This paper proposes a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors for on-line parameter estimation of an induction machine (IM). The regressive mathematical model of the IM is also introduced which is simple and appropriate for online parameter estimation. The estimator inputs using the proposed RLS algorithm are easily measurable variables such as the stator voltages and currents as well as the rotor speed of the IM. The simulation results obtained compare the estimated parameters with the IM parameters achieved using other RLS algorithms such as a standard RLS algorithm and a RLS with a constant forgetting factor. The comparison shows that the proposed RLS algorithm is better than others for on-line parameter estimation of the IM. ©2010 IEEE.

AB - This paper proposes a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors for on-line parameter estimation of an induction machine (IM). The regressive mathematical model of the IM is also introduced which is simple and appropriate for online parameter estimation. The estimator inputs using the proposed RLS algorithm are easily measurable variables such as the stator voltages and currents as well as the rotor speed of the IM. The simulation results obtained compare the estimated parameters with the IM parameters achieved using other RLS algorithms such as a standard RLS algorithm and a RLS with a constant forgetting factor. The comparison shows that the proposed RLS algorithm is better than others for on-line parameter estimation of the IM. ©2010 IEEE.

KW - Induction machine

KW - Parameter estimation

KW - Recursive least-squares algorithms

UR - http://www.scopus.com/inward/record.url?scp=79951808493&partnerID=8YFLogxK

U2 - 10.1109/PECON.2010.5697624

DO - 10.1109/PECON.2010.5697624

M3 - Conference contribution

SN - 9781424489466

SP - 444

EP - 449

BT - PECon2010 - 2010 IEEE International Conference on Power and Energy

T2 - 2010 IEEE International Conference on Power and Energy

Y2 - 29 November 2010 through 1 December 2010

ER -

On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this