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|Title: ||Tilt control design for high-speed trains: a study on multi-objective tuning approaches|
|Authors: ||Zamzuri, Hairi|
Zolotas, Argyrios C.
Goodall, Roger M.
|Keywords: ||Railway dynamics|
Multi objective genetic algorithm
|Issue Date: ||2008|
|Publisher: ||© Taylor & Francis|
|Citation: ||ZAMZURI, H., ZOLOTAS, A.C. and GOODALL, R.M., 2008. Tilt control design for high-speed trains: a study on multi-objective tuning approaches. Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility, 46(S1), pp. 535-547.|
|Abstract: ||This paper presents work on a hybrid fuzzy control scheme for improving 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.|
|Description: ||This article was published in the journal, Vehicle System Dynamics [© Taylor & Francis] and the definitive version is available at: http://dx.doi.org/10.1080/00423110801993151|
|Version: ||Accepted for publication|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
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