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Tilt control design for high-speed trains: a study on multi-objective tuning approaches
journal contributionposted on 2009-11-23, 14:48 authored 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.
- Mechanical, Electrical and Manufacturing Engineering
CitationZAMZURI, 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
- AM (Accepted Manuscript)
NotesThis 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