VSD_paper_2014x2_RonghuiAccepted version.pdf (196.94 kB)
Robust system state estimation for active suspension control in high-speed tilting trains
journal contribution
posted on 2017-10-23, 15:05 authored by Ronghui Zhou, Argyrios C. Zolotas, Roger GoodallThe interaction between the railway vehicle body roll and lateral dynamics substantially influences the tilting system performance in high-speed tilting trains, which results in a potential poor ride comfort and high risk of motion sickness. Integrating active lateral secondary suspension into the tilting control system is one of the solutions to provide a remedy to roll–lateral interaction. It improves the design trade-off for the local tilt control (based only upon local vehicle measurements) between straight track ride comfort and curving performance. Advanced system state estimation technology can be applied to further enhance the system performance, i.e. by using the estimated vehicle body lateral acceleration (relative to the track) and true cant deficiency in the configuration of the tilt and lateral active suspension controllers, thus to further attenuate the system dynamics coupling. Robust H∞ filtering is investigated in this paper aiming to offer a robust estimation (i.e. estimation in the presence of uncertainty) for the required variables, In particular, it can minimise the maximum estimation error and thus be more robust to system parametric uncertainty. Simulation results illustrate the effectiveness of the proposed schemes.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Vehicle System DynamicsVolume
52Issue
sup1Pages
355 - 369Citation
ZHOU, R., ZOLOTAS, A., and GOODALL, R., 2014. Robust system state estimation for active suspension control in high-speed tilting trains. Vehicle System Dynamics, 52, supplement 1, pp.355-369.Publisher
© Taylor & FrancisVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2014Notes
This is an Accepted Manuscript of an article published by Taylor & Francis in 'Vehicle System Dynamics' on 07/04/2014, available online: https://doi.org/10.1080/00423114.2014.901540. IAVSD Proceeding Supplement.ISSN
0042-3114eISSN
1744-5159Publisher version
Language
- en