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

Zamzuri, Hairi, Zolotas, Argyrios C 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

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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

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology
T Technology > T Technology (General) > T0055.4 Industrial engineering. Management engineering > T0057 Applied mathematics. Quantitative methods
T Technology > TA Engineering (General). Civil engineering (General) > TA0174 Engineering design
T Technology > TJ Mechanical engineering and machinery > TJ0212 Control engineering systems. Automatic machinery (General)
Depositing User: Argyrios Zolotas
Date Deposited: 30 Nov 2012 11:13
Last Modified: 30 Nov 2012 11:13
URI: http://sro.sussex.ac.uk/id/eprint/43186
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