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Tilt control design for high-speed trains: a study on multi-objective tuning approaches

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journal contribution
posted on 23.11.2009, 14:48 by Hairi Zamzuri, Argyrios C. Zolotas, Roger Goodall
This paper presents work on a hybrid fuzzy control scheme for improving the performance of tilting trains using a nulling-based tilt strategy. Two multi-objective Genetic Algorithm tuning methods (MOGA and NSGAII) were employed to optimise both the fuzzy output membership functions and the controller parameters. The objective functions incorporated the tilt response and roll gyroscope signals for the deterministic (curved track) profile, and lateral acceleration for the stochastic (straight track) profile. Simulation results discuss the effectiveness of using the presented techniques for tuning the fuzzy control scheme via multiple objectives. The proposed scheme is compared with the conventional nulling-tilt approach and a manually-tuned fuzzy controller.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

ZAMZURI, H., ZOLOTAS, A.C. and GOODALL, R.M., 2008. Tilt control design for high-speed trains: a study on multi-objective tuning approaches. Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility, 46(S1), pp. 535-547.

Publisher

© Taylor & Francis

Version

AM (Accepted Manuscript)

Publication date

2008

Notes

This article was published in the journal, Vehicle System Dynamics [© Taylor & Francis] and the definitive version is available at: http://dx.doi.org/10.1080/00423110801993151

ISSN

1744-5159;0042-3114

Language

en