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Intelligent model-based robust control for tilting railway vehicles

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posted on 16.07.2018, 08:25 by Hairi Zamzuri
High-speed trains have become one of the main means of public transportation around the world. The use of tilting train technologies on high-speed trains has contributed to cost effectiveness by reducing journey time between two places without the need to develop a new high-speed rail track infrastructure. Current technologies in tilting railway vehicles use a 'precedence' control scheme. This scheme uses a measurement from the front vehicle to capture 'precedence' information. Research on local sensor loop control strategies is still important to overcome the complexity of using precedence control technique. Work using conventional and modern control approaches has been investigated by previous researches. This study further extends these by investigating a particular intelligent control technique using fuzzy logic in designing the local feedback tilt control scheme. [Continues.]


Universiti Teknologi Malaysia (Johor Bahru, Malaysia).



  • Mechanical, Electrical and Manufacturing Engineering


© Hairi Zamzuri

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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at:

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A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.



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Mechanical, Electrical and Manufacturing Engineering Theses