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

Zamzuri, Hairi and Zolotas, Argyrios and Goodall, Roger M (2008) Tilt control design for high-speed trains: a study on multi-objective tuning approaches. Vehicle System Dynamics, 46 (Sup 1). pp. 535-547. ISSN 0042-3114

Full content URL: http://www.tandfonline.com/doi/abs/10.1080/0042311...

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Tilt control design for high-speed trains: a study on multi-objective tuning approaches
http://dx.doi.org/10.1080/00423110801993
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Abstract

This 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

Additional Information:Published online: 28 Jan 2009
Keywords:railway dynamics, intelligent control, tilting trains, fuzzy control, multi objective genetic algorithm
Subjects:H Engineering > H660 Control Systems
H Engineering > H100 General Engineering
H Engineering > H332 Rail Vehicle Engineering
Divisions:College of Science > School of Engineering
ID Code:15062
Deposited On:01 Oct 2014 10:48

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