Predictive control strategies used to solve challenges related to modern railway vehicles

R. W. Ngigi, C. Pislaru, A. Ball, F. Gu, A. Anyakwo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper is an attempt to collate and critically appraise the recent advances in control strategies used to solve challenges related to railway vehicles which present nonlinearities and uncertainties. These strategies concentrate on stability of solid axle-wheelsets, guidance for wheelsets to provide the function of track following and curving to reduce all unnecessary creep forces and associated wear/noise. The focus is on active primary and secondary suspensions, braking and traction sub systems. This paper examines potential new and efficient applications of modern predictive control methods, analysis tools and techniques which could be used in effective and reliable condition monitoring systems allowing informed decision making on maintenance and renewals activities. (5 pages).

Original languageEnglish
Title of host publication5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011
Volume2011
Edition581 CP
DOIs
Publication statusPublished - 2011
Event5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing - Derby, United Kingdom
Duration: 29 Nov 201130 Nov 2011
Conference number: 5

Conference

Conference5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing
Abbreviated titleRCM 2011
CountryUnited Kingdom
CityDerby
Period29/11/1130/11/11

Fingerprint

Axles
Condition monitoring
Braking
Creep
Decision making
Wear of materials
Uncertainty

Cite this

Ngigi, R. W., Pislaru, C., Ball, A., Gu, F., & Anyakwo, A. (2011). Predictive control strategies used to solve challenges related to modern railway vehicles. In 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011 (581 CP ed., Vol. 2011) https://doi.org/10.1049/cp.2011.0615
Ngigi, R. W. ; Pislaru, C. ; Ball, A. ; Gu, F. ; Anyakwo, A. / Predictive control strategies used to solve challenges related to modern railway vehicles. 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011. Vol. 2011 581 CP. ed. 2011.
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Ngigi, RW, Pislaru, C, Ball, A, Gu, F & Anyakwo, A 2011, Predictive control strategies used to solve challenges related to modern railway vehicles. in 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011. 581 CP edn, vol. 2011, 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, Derby, United Kingdom, 29/11/11. https://doi.org/10.1049/cp.2011.0615

Predictive control strategies used to solve challenges related to modern railway vehicles. / Ngigi, R. W.; Pislaru, C.; Ball, A.; Gu, F.; Anyakwo, A.

5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011. Vol. 2011 581 CP. ed. 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Predictive control strategies used to solve challenges related to modern railway vehicles

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AU - Pislaru, C.

AU - Ball, A.

AU - Gu, F.

AU - Anyakwo, A.

PY - 2011

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N2 - This paper is an attempt to collate and critically appraise the recent advances in control strategies used to solve challenges related to railway vehicles which present nonlinearities and uncertainties. These strategies concentrate on stability of solid axle-wheelsets, guidance for wheelsets to provide the function of track following and curving to reduce all unnecessary creep forces and associated wear/noise. The focus is on active primary and secondary suspensions, braking and traction sub systems. This paper examines potential new and efficient applications of modern predictive control methods, analysis tools and techniques which could be used in effective and reliable condition monitoring systems allowing informed decision making on maintenance and renewals activities. (5 pages).

AB - This paper is an attempt to collate and critically appraise the recent advances in control strategies used to solve challenges related to railway vehicles which present nonlinearities and uncertainties. These strategies concentrate on stability of solid axle-wheelsets, guidance for wheelsets to provide the function of track following and curving to reduce all unnecessary creep forces and associated wear/noise. The focus is on active primary and secondary suspensions, braking and traction sub systems. This paper examines potential new and efficient applications of modern predictive control methods, analysis tools and techniques which could be used in effective and reliable condition monitoring systems allowing informed decision making on maintenance and renewals activities. (5 pages).

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KW - condition monitoring

KW - intelligent sensing

KW - predictive analysis techniques

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VL - 2011

BT - 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011

ER -

Ngigi RW, Pislaru C, Ball A, Gu F, Anyakwo A. Predictive control strategies used to solve challenges related to modern railway vehicles. In 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011. 581 CP ed. Vol. 2011. 2011 https://doi.org/10.1049/cp.2011.0615