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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5506

Title: Tilt control design for high-speed trains: a study on multi-objective tuning approaches
Authors: Zamzuri, Hairi
Zolotas, Argyrios C.
Goodall, Roger M.
Keywords: Railway dynamics
Intelligent control
Tilting trains
Fuzzy control
Multi objective genetic algorithm
Issue Date: 2008
Publisher: © Taylor & Francis
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.
Abstract: 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.
Description: 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
Version: Accepted for publication
DOI: 10.1080/00423110801993151
URI: https://dspace.lboro.ac.uk/2134/5506
ISSN: 1744-5159
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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