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

Hairi Zamzuri, Argyrios C. Zolotas, Roger M. Goodall

Research output: Contribution to journalArticle

12 Citations (Scopus)

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.

LanguageEnglish
Pages535-547
Number of pages13
JournalVehicle System Dynamics
Volume46
Issue numberSUPPL.1
DOIs
Publication statusPublished - 2008
Externally publishedYes

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Fuzzy control
Tuning
Controllers
Gyroscopes
Membership functions
Genetic algorithms

Cite this

Zamzuri, Hairi ; Zolotas, Argyrios C. ; Goodall, Roger M. / Tilt control design for high-speed trains : A study on multi-objective tuning approaches. In: Vehicle System Dynamics. 2008 ; Vol. 46, No. SUPPL.1. pp. 535-547.
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Tilt control design for high-speed trains : A study on multi-objective tuning approaches. / Zamzuri, Hairi; Zolotas, Argyrios C.; Goodall, Roger M.

In: Vehicle System Dynamics, Vol. 46, No. SUPPL.1, 2008, p. 535-547.

Research output: Contribution to journalArticle

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