Parameter estimation selection for a sensorless railway traction application

Iban Vicente; Joseba Arza; Martin Brown; Alasdair Renfrew

doi:10.1109/VPPC.2006.364363

Parameter estimation selection for a sensorless railway traction application

Iban Vicente^*
, Joseba Arza
, Martin Brown
, Alasdair Renfrew

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

This paper presents an approach to solving the speed estimation problem in high-power railway traction applications, including the very low speed range. The full-order Luenberger observer design, based on voltage and current models, is presented as the optimal alternative instead of the conventional method based on observer pole placement. Observer discretization and parameter sensitivity is also analyzed., An adaptive scheme based on Lyapunov theory is proposed for the on-line estimation of stator resistance and the motor speed considering the mismatch of the parameters, measurement noise and inverter model errors. Rotor resistance is also compensated for improved robustness.

Original language	English
Title of host publication	2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006
DOIs	https://doi.org/10.1109/VPPC.2006.364363
Publication status	Published - 2006
Externally published	Yes
Event	2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006 - Windsor, United Kingdom Duration: 6 Sept 2006 → 8 Sept 2006

Publication series

Name	2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006

Conference

Conference	2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006
Country/Territory	United Kingdom
City	Windsor
Period	6/09/06 → 8/09/06

Keywords

Adaptive techniques
Luenberger observers
Motor drives
Railway traction
Sensorless

Access to Document

10.1109/VPPC.2006.364363

Cite this

@inproceedings{4cd0f67a75104f61887004ab2010fd97,

title = "Parameter estimation selection for a sensorless railway traction application",

abstract = "This paper presents an approach to solving the speed estimation problem in high-power railway traction applications, including the very low speed range. The full-order Luenberger observer design, based on voltage and current models, is presented as the optimal alternative instead of the conventional method based on observer pole placement. Observer discretization and parameter sensitivity is also analyzed., An adaptive scheme based on Lyapunov theory is proposed for the on-line estimation of stator resistance and the motor speed considering the mismatch of the parameters, measurement noise and inverter model errors. Rotor resistance is also compensated for improved robustness.",

keywords = "Adaptive techniques, Luenberger observers, Motor drives, Railway traction, Sensorless",

author = "Iban Vicente and Joseba Arza and Martin Brown and Alasdair Renfrew",

year = "2006",

doi = "10.1109/VPPC.2006.364363",

language = "English",

isbn = "1424401585",

series = "2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006",

booktitle = "2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006",

note = "2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006 ; Conference date: 06-09-2006 Through 08-09-2006",

}

Vicente, I, Arza, J, Brown, M & Renfrew, A 2006, Parameter estimation selection for a sensorless railway traction application. in 2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006., 4211273, 2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006, 2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006, Windsor, United Kingdom, 6/09/06. https://doi.org/10.1109/VPPC.2006.364363

Parameter estimation selection for a sensorless railway traction application. / Vicente, Iban; Arza, Joseba; Brown, Martin et al.
2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006. 2006. 4211273 (2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006).

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

TY - GEN

T1 - Parameter estimation selection for a sensorless railway traction application

AU - Vicente, Iban

AU - Arza, Joseba

AU - Brown, Martin

AU - Renfrew, Alasdair

PY - 2006

Y1 - 2006

N2 - This paper presents an approach to solving the speed estimation problem in high-power railway traction applications, including the very low speed range. The full-order Luenberger observer design, based on voltage and current models, is presented as the optimal alternative instead of the conventional method based on observer pole placement. Observer discretization and parameter sensitivity is also analyzed., An adaptive scheme based on Lyapunov theory is proposed for the on-line estimation of stator resistance and the motor speed considering the mismatch of the parameters, measurement noise and inverter model errors. Rotor resistance is also compensated for improved robustness.

AB - This paper presents an approach to solving the speed estimation problem in high-power railway traction applications, including the very low speed range. The full-order Luenberger observer design, based on voltage and current models, is presented as the optimal alternative instead of the conventional method based on observer pole placement. Observer discretization and parameter sensitivity is also analyzed., An adaptive scheme based on Lyapunov theory is proposed for the on-line estimation of stator resistance and the motor speed considering the mismatch of the parameters, measurement noise and inverter model errors. Rotor resistance is also compensated for improved robustness.

KW - Adaptive techniques

KW - Luenberger observers

KW - Motor drives

KW - Railway traction

KW - Sensorless

UR - https://www.scopus.com/pages/publications/81455147391

U2 - 10.1109/VPPC.2006.364363

DO - 10.1109/VPPC.2006.364363

M3 - Conference contribution

AN - SCOPUS:81455147391

SN - 1424401585

SN - 9781424401581

T3 - 2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006

BT - 2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006

T2 - 2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006

Y2 - 6 September 2006 through 8 September 2006

ER -

Parameter estimation selection for a sensorless railway traction application

Abstract

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Conference

Keywords

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