Model Predictive Control Application to Flexible-Bodied Railway Vehicles for Vibration Suppression

Article Preview

Abstract:

In this paper, we apply model predictive control (MPC) based on mixed H2/H to active vibration control of the flexibility of railway vehicle to improve ride quality. However, the flexibility in the body of high-speed railway vehicles creates difficulties which in practice may result in the body structure being heavier than what it is supposed to be. The use of active suspension helps to model the vehicle and its flexibility in an effective manner. Conventional control approaches are compared with linear matrix inequality MPC technique using flexible-bodied railway vehicle as an example. The result indicates that the MPC technique performs better in improving ride comfort compared to the passive and classical techniques when flexible modes are present.

You might also be interested in these eBooks

Info:

Pages:

25-35

Citation:

Online since:

July 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] E. Foo and R. Goodall, Active suspension control strategies for flexible-bodied railway vehicles, UKACC International Conference on Control (1998) 1300 – 1305.

DOI: 10.1049/cp:19980415

Google Scholar

[2] E. Foo and R. M. Goodall, Active suspension control strategies for flexible-bodied railway vehicles using electro-hydraulic and electro-magnetic actuators, Control Engineering Practice, 8 (2000) 507 – 518.

DOI: 10.1016/s0967-0661(99)00188-4

Google Scholar

[3] I. Pratt, Active suspensions applied to railway trains, PhD Thesis, Loughborough University, UK, 1996.

Google Scholar

[4] X. Zheng, A. C. Zolotas and R. M. Goodall, Modeling of flexible-bodied railway vehicles for vibration suppression, ICSE, Coventry, UK, (2006).

Google Scholar

[5] P. E. Orukpe, I. M. Jaimoukha and H. M. H. El-Zobaidi, Model predictive control based on mixed H2/H∞ control approach, Proceedings of American Control Conference, New York, USA (2007) 6147 – 6150.

DOI: 10.1109/acc.2007.4282873

Google Scholar

[6] P. E. Orukpe, X. Zheng, I. M. Jaimoukha, A. C. Zolotas and R. M. Goodall, Model predictive control based on mixed H2/H∞ control approach for active vibration control of railway vehicles, Journal of Vehicle System Dynamics, 46 (Supplement) (2008) 151 – 160.

DOI: 10.1080/00423110701882371

Google Scholar

[7] P. E. Orukpe, Model predictive control for linear time invariant systems using linear matrix inequality techniques, PhD Thesis, Imperial College London, UK, 2009.

Google Scholar

[8] A. Orvnas, Methods for reducing vertical carbody vibrations of a rail vehicle: a literature survey, Report in Rail Technology, Stockholm, Sweden, 2010.

Google Scholar

[9] H. Dong, B. Ning, B. Cai and Z. Hou, Automatic train control system development and simulation for high-speed railways, IEEE Circuits and Systems Magazine, Second Quarter (2010) 6 – 18.

DOI: 10.1109/mcas.2010.936782

Google Scholar

[10] A. Orvnas, S. Stichel and R. Persson, Active lateral secondary suspension with H∞ control to improve ride comfort: simulations on a full-scale model, Vehicle System Dynamics 49(9) (2011) 1409 – 1422.

DOI: 10.1080/00423114.2010.527011

Google Scholar

[11] R. M. Goodall and T. X. Mei, Active suspensions, in: S. Iwnicki (Ed), Handbook of Railway Vehicle Dynamics, CRC Press, Florida, 2006, p.327 – 358.

DOI: 10.1201/9781420004892.ch11

Google Scholar

[12] B. Dumitrescu, Bounded real lemma for FIR/MIMO systems, IEEE Signal Processing Letters 12(7) (2005) 496 – 499.

DOI: 10.1109/lsp.2005.849496

Google Scholar

[13] A. A. Shabana and J. R. Sany, A survey of rail vehicle track simulations and flexible multibody dynamics, Nonlinear Dynamics 26 (2001) 179 – 210.

Google Scholar

[14] J. Zhou, R. Goodall, L. Ren and H. Zhang, Influences of car body vertical flexibility on ride quality of passenger railway vehicles, Journal of Rail and Rapid Transit 223 (F5) 2009 461 – 471.

DOI: 10.1243/09544097jrrt272

Google Scholar

[15] CEN, EN 12299, Railway Applications – Ride Comfort for Passengers, Measurement and evaluation, Brussels, 2009.

Google Scholar