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

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

doi:10.1080/00423110801993151

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 journal › Article › peer-review

15 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.

Original language	English
Pages (from-to)	535-547
Number of pages	13
Journal	Vehicle System Dynamics
Volume	46
Issue number	SUPPL.1
DOIs	https://doi.org/10.1080/00423110801993151
Publication status	Published - 2008
Externally published	Yes

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

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.",

keywords = "Fuzzy control, Intelligent control, Multi objective genetic algorithm, Railway dynamics, Tilt, Tilting trains",

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PY - 2008

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N2 - 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.

AB - 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.

KW - Fuzzy control

KW - Intelligent control

KW - Multi objective genetic algorithm

KW - Railway dynamics

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KW - Tilting trains

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

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