Active stability control strategies for a high speed bogie

J. T. Pearson, R. M. Goodall, T. X. Mei, G. Himmelstein

Research output: Contribution to journalArticle

50 Citations (Scopus)

Abstract

This paper presents a comparison of control algorithms for actively stabilised wheelsets on high speed railway vehicles. Both intuitively derived classical strategies and modern optimal strategies are considered. Computer simulations are used to assess and compare the performance of the strategies in terms of their ability to provide stability across a range of operating conditions, for a range of parameter uncertainty and also in terms of their actuator requirements. Actuator models are also developed, not only to properly assess the impact of actuator dynamics on the active stability system performance, but also to further quantify and refine the actuator requirements needed to implement the system practically. The concept has been implemented practically on a full size vehicle and some preliminary experimental results are included. Although the paper concentrates upon stability control, some observations are included regarding the integration of steering controllers.

LanguageEnglish
Pages1381-1391
Number of pages11
JournalControl Engineering Practice
Volume12
Issue number11
Early online date22 Sep 2003
DOIs
Publication statusPublished - Nov 2004
Externally publishedYes

Fingerprint

Control Strategy
Actuator
High Speed
Actuators
Requirements
Parameter Uncertainty
Railway
Optimal Strategy
System stability
Range of data
Control Algorithm
System Performance
Quantify
Computer Simulation
Controller
Controllers
Computer simulation
Experimental Results
Strategy
Model

Cite this

Pearson, J. T. ; Goodall, R. M. ; Mei, T. X. ; Himmelstein, G. / Active stability control strategies for a high speed bogie. In: Control Engineering Practice. 2004 ; Vol. 12, No. 11. pp. 1381-1391.
@article{a2077948f3b147dd98291b679a942821,
title = "Active stability control strategies for a high speed bogie",
abstract = "This paper presents a comparison of control algorithms for actively stabilised wheelsets on high speed railway vehicles. Both intuitively derived classical strategies and modern optimal strategies are considered. Computer simulations are used to assess and compare the performance of the strategies in terms of their ability to provide stability across a range of operating conditions, for a range of parameter uncertainty and also in terms of their actuator requirements. Actuator models are also developed, not only to properly assess the impact of actuator dynamics on the active stability system performance, but also to further quantify and refine the actuator requirements needed to implement the system practically. The concept has been implemented practically on a full size vehicle and some preliminary experimental results are included. Although the paper concentrates upon stability control, some observations are included regarding the integration of steering controllers.",
keywords = "Active control, Controllers, Feedback stabilisation, Kalman filter, Railways",
author = "Pearson, {J. T.} and Goodall, {R. M.} and Mei, {T. X.} and G. Himmelstein",
year = "2004",
month = "11",
doi = "10.1016/S0967-0661(03)00152-7",
language = "English",
volume = "12",
pages = "1381--1391",
journal = "Control Engineering Practice",
issn = "0967-0661",
publisher = "Elsevier Limited",
number = "11",

}

Active stability control strategies for a high speed bogie. / Pearson, J. T.; Goodall, R. M.; Mei, T. X.; Himmelstein, G.

In: Control Engineering Practice, Vol. 12, No. 11, 11.2004, p. 1381-1391.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Active stability control strategies for a high speed bogie

AU - Pearson, J. T.

AU - Goodall, R. M.

AU - Mei, T. X.

AU - Himmelstein, G.

PY - 2004/11

Y1 - 2004/11

N2 - This paper presents a comparison of control algorithms for actively stabilised wheelsets on high speed railway vehicles. Both intuitively derived classical strategies and modern optimal strategies are considered. Computer simulations are used to assess and compare the performance of the strategies in terms of their ability to provide stability across a range of operating conditions, for a range of parameter uncertainty and also in terms of their actuator requirements. Actuator models are also developed, not only to properly assess the impact of actuator dynamics on the active stability system performance, but also to further quantify and refine the actuator requirements needed to implement the system practically. The concept has been implemented practically on a full size vehicle and some preliminary experimental results are included. Although the paper concentrates upon stability control, some observations are included regarding the integration of steering controllers.

AB - This paper presents a comparison of control algorithms for actively stabilised wheelsets on high speed railway vehicles. Both intuitively derived classical strategies and modern optimal strategies are considered. Computer simulations are used to assess and compare the performance of the strategies in terms of their ability to provide stability across a range of operating conditions, for a range of parameter uncertainty and also in terms of their actuator requirements. Actuator models are also developed, not only to properly assess the impact of actuator dynamics on the active stability system performance, but also to further quantify and refine the actuator requirements needed to implement the system practically. The concept has been implemented practically on a full size vehicle and some preliminary experimental results are included. Although the paper concentrates upon stability control, some observations are included regarding the integration of steering controllers.

KW - Active control

KW - Controllers

KW - Feedback stabilisation

KW - Kalman filter

KW - Railways

UR - http://www.scopus.com/inward/record.url?scp=3142722674&partnerID=8YFLogxK

U2 - 10.1016/S0967-0661(03)00152-7

DO - 10.1016/S0967-0661(03)00152-7

M3 - Article

VL - 12

SP - 1381

EP - 1391

JO - Control Engineering Practice

T2 - Control Engineering Practice

JF - Control Engineering Practice

SN - 0967-0661

IS - 11

ER -