Reduced model identification and parameter estimation for traction drive-trains

Michael Fleischer, Keiichiro Kondo

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Traction drive-trains of modern locomotives consist of a flexible multi-inertia structure that experiences significant wheelset wear due to wheel-rail contact and ageing of rubber elastic joints during its operational life. For control design, an accurate and suitable reduced model is required. Therefore, a reduced model identification is proposed, taking branched traction drive-trains and parameter adaption in terms of wheelset wear and rubber ageing into consideration. The identification effort is lowered by applying previous knowledge of the flexible structure in order to comply with the limitations imposed by the traction application. For predictive maintenance, the effects of ageing and wheel wear are decoupled, enabling precise estimation of the variable mechanical parameters, namely, the rubber joint stiffness and the wheel disc radius, on the basis of an identified modal three-inertia model. Finally, the proposed scheme is tested with data from a European high-performance locomotive.

Original languageEnglish
Pages (from-to)486-495
Number of pages10
JournalIEEJ Journal of Industry Applications
Volume4
Issue number4
DOIs
Publication statusPublished - 2015 Jan 1
Externally publishedYes

Fingerprint

Traction (friction)
Parameter estimation
Identification (control systems)
Wheels
Rubber
Locomotives
Aging of materials
Wear of materials
Flexible structures
Rails
Stiffness
Mechanical properties

Keywords

  • Parameter estimation
  • Railway vehicle
  • Reduced model
  • Traction drive-train

ASJC Scopus subject areas

  • Automotive Engineering
  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

Reduced model identification and parameter estimation for traction drive-trains. / Fleischer, Michael; Kondo, Keiichiro.

In: IEEJ Journal of Industry Applications, Vol. 4, No. 4, 01.01.2015, p. 486-495.

Research output: Contribution to journalArticle

@article{ddcfe32a18a8410dbe41c0bc9c24c441,
title = "Reduced model identification and parameter estimation for traction drive-trains",
abstract = "Traction drive-trains of modern locomotives consist of a flexible multi-inertia structure that experiences significant wheelset wear due to wheel-rail contact and ageing of rubber elastic joints during its operational life. For control design, an accurate and suitable reduced model is required. Therefore, a reduced model identification is proposed, taking branched traction drive-trains and parameter adaption in terms of wheelset wear and rubber ageing into consideration. The identification effort is lowered by applying previous knowledge of the flexible structure in order to comply with the limitations imposed by the traction application. For predictive maintenance, the effects of ageing and wheel wear are decoupled, enabling precise estimation of the variable mechanical parameters, namely, the rubber joint stiffness and the wheel disc radius, on the basis of an identified modal three-inertia model. Finally, the proposed scheme is tested with data from a European high-performance locomotive.",
keywords = "Parameter estimation, Railway vehicle, Reduced model, Traction drive-train",
author = "Michael Fleischer and Keiichiro Kondo",
year = "2015",
month = "1",
day = "1",
doi = "10.1541/ieejjia.4.486",
language = "English",
volume = "4",
pages = "486--495",
journal = "IEEJ Journal of Industry Applications",
issn = "2187-1094",
publisher = "The Institute of Electrical Engineers of Japan",
number = "4",

}

TY - JOUR

T1 - Reduced model identification and parameter estimation for traction drive-trains

AU - Fleischer, Michael

AU - Kondo, Keiichiro

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Traction drive-trains of modern locomotives consist of a flexible multi-inertia structure that experiences significant wheelset wear due to wheel-rail contact and ageing of rubber elastic joints during its operational life. For control design, an accurate and suitable reduced model is required. Therefore, a reduced model identification is proposed, taking branched traction drive-trains and parameter adaption in terms of wheelset wear and rubber ageing into consideration. The identification effort is lowered by applying previous knowledge of the flexible structure in order to comply with the limitations imposed by the traction application. For predictive maintenance, the effects of ageing and wheel wear are decoupled, enabling precise estimation of the variable mechanical parameters, namely, the rubber joint stiffness and the wheel disc radius, on the basis of an identified modal three-inertia model. Finally, the proposed scheme is tested with data from a European high-performance locomotive.

AB - Traction drive-trains of modern locomotives consist of a flexible multi-inertia structure that experiences significant wheelset wear due to wheel-rail contact and ageing of rubber elastic joints during its operational life. For control design, an accurate and suitable reduced model is required. Therefore, a reduced model identification is proposed, taking branched traction drive-trains and parameter adaption in terms of wheelset wear and rubber ageing into consideration. The identification effort is lowered by applying previous knowledge of the flexible structure in order to comply with the limitations imposed by the traction application. For predictive maintenance, the effects of ageing and wheel wear are decoupled, enabling precise estimation of the variable mechanical parameters, namely, the rubber joint stiffness and the wheel disc radius, on the basis of an identified modal three-inertia model. Finally, the proposed scheme is tested with data from a European high-performance locomotive.

KW - Parameter estimation

KW - Railway vehicle

KW - Reduced model

KW - Traction drive-train

UR - http://www.scopus.com/inward/record.url?scp=85015430402&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015430402&partnerID=8YFLogxK

U2 - 10.1541/ieejjia.4.486

DO - 10.1541/ieejjia.4.486

M3 - Article

AN - SCOPUS:85015430402

VL - 4

SP - 486

EP - 495

JO - IEEJ Journal of Industry Applications

JF - IEEJ Journal of Industry Applications

SN - 2187-1094

IS - 4

ER -