Model predictive control based on mixed H2/H∞ control approach for active vibration control of railway vehicles

Patience E. Orukpe; Xiang Zheng; I. M. Jaimoukha; A. C. Zolotas; R. M. Goodall

doi:10.1080/00423110701882371

Model predictive control based on mixed H₂/H_∞ control approach for active vibration control of railway vehicles

Patience E. Orukpe, Xiang Zheng, I. M. Jaimoukha, A. C. Zolotas, R. M. Goodall

Research output: Contribution to journal › Article › peer-review

45 Citations (Scopus)

Abstract

This paper investigates the application of model predictive control technology based on mixed H₂/_∞ control approach for active suspension control of a railway vehicle, the aim being to improve the ride quality of the railway vehicle. Comparisons are made with more conventional control approaches, and the applicability of the linear matrix inequality approach is illustrated via the railway vehicle example.

Original language	English
Pages (from-to)	151-160
Number of pages	10
Journal	Vehicle System Dynamics
Volume	46
Issue number	SUPPL.1
DOIs	https://doi.org/10.1080/00423110701882371
Publication status	Published - 2008
Externally published	Yes

Access to Document

10.1080/00423110701882371

Cite this

@article{4425ac55887a48c38f36523c7faf15b1,

title = "Model predictive control based on mixed H2/H∞ control approach for active vibration control of railway vehicles",

abstract = "This paper investigates the application of model predictive control technology based on mixed H2/∞ control approach for active suspension control of a railway vehicle, the aim being to improve the ride quality of the railway vehicle. Comparisons are made with more conventional control approaches, and the applicability of the linear matrix inequality approach is illustrated via the railway vehicle example.",

keywords = "Active suspension, H norm, Linear matrix inequality (LMI), Model predictive control, Railway vehicles",

author = "Orukpe, {Patience E.} and Xiang Zheng and Jaimoukha, {I. M.} and Zolotas, {A. C.} and Goodall, {R. M.}",

year = "2008",

doi = "10.1080/00423110701882371",

language = "English",

volume = "46",

pages = "151--160",

journal = "Vehicle System Dynamics",

issn = "0042-3114",

publisher = "Taylor and Francis Ltd.",

number = "SUPPL.1",

}

TY - JOUR

T1 - Model predictive control based on mixed H2/H∞ control approach for active vibration control of railway vehicles

AU - Orukpe, Patience E.

AU - Zheng, Xiang

AU - Jaimoukha, I. M.

AU - Zolotas, A. C.

AU - Goodall, R. M.

PY - 2008

Y1 - 2008

N2 - This paper investigates the application of model predictive control technology based on mixed H2/∞ control approach for active suspension control of a railway vehicle, the aim being to improve the ride quality of the railway vehicle. Comparisons are made with more conventional control approaches, and the applicability of the linear matrix inequality approach is illustrated via the railway vehicle example.

AB - This paper investigates the application of model predictive control technology based on mixed H2/∞ control approach for active suspension control of a railway vehicle, the aim being to improve the ride quality of the railway vehicle. Comparisons are made with more conventional control approaches, and the applicability of the linear matrix inequality approach is illustrated via the railway vehicle example.

KW - Active suspension

KW - H norm

KW - Linear matrix inequality (LMI)

KW - Model predictive control

KW - Railway vehicles

UR - http://www.scopus.com/inward/record.url?scp=51449107165&partnerID=8YFLogxK

U2 - 10.1080/00423110701882371

DO - 10.1080/00423110701882371

M3 - Article

AN - SCOPUS:51449107165

VL - 46

SP - 151

EP - 160

JO - Vehicle System Dynamics

JF - Vehicle System Dynamics

SN - 0042-3114

IS - SUPPL.1

ER -

Model predictive control based on mixed H₂/H_∞ control approach for active vibration control of railway vehicles

Abstract

Access to Document

Other files and links

Fingerprint

Cite this