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Tilt control design for high-speed trains: a study on multi-objective tuning approaches
journal contribution
posted on 2023-06-08, 14:00 authored by Hairi Zamzuri, Argyrios C Zolotas, Roger M GoodallThis paper presents work on a hybrid fuzzy control scheme to improve 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
Publication status
- Published
Journal
Vehicle System DynamicsISSN
0042-3114External DOI
Issue
Sup 1Volume
46Page range
535-547Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-11-30Usage metrics
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