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

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 controlle...

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Bibliographic Details
Main Authors: Hairi Zamzuri, Argyrios C. Zolotas, Roger Goodall
Format: Default Article
Published: 2008
Subjects:
Mechanical engineering not elsewhere classified
Railway dynamics
Tilt
Intelligent control
Tilting trains
Fuzzy control
Multi objective genetic algorithm
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/5506
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