Intelligent based terrain preview controller for a 3-axle vehicle

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dc.contributor.authorEconomou, John T.
dc.contributor.authorPurdy, David J.
dc.contributor.authorGalvão Wall, David
dc.contributor.authorDiskett, D.
dc.contributor.authorSimner, D.
dc.date.accessioned2016-10-18T15:35:27Z
dc.date.available2016-10-18T15:35:27Z
dc.date.issued2016-09-16
dc.descriptionPresented at 13th International Symposium on Advanced Vehicle Control, AVEC'16; Munich 13-16/09/2016en_UK
dc.description.abstractThe paper presents a six-wheel half longitudinal model and the design of a dual level control architecture. The first (top) level is designed using a Sugeno fuzzy inference feedforward architecture with and without preview. The second level of controllers are locally managing each wheel for each axle. As the vehicle is moving forward the front wheels and suspension units will have less time to respond when compared to the middle and rear units, hence a preview sensor is used to compensate. The paper shows that the local active suspensions together with the Sugeno Fuzzy, (locally optimised using subtractive clustering), Feedforward control strategy is more effective and this architecture has resulted in reducing the sprung mass vertical acceleration and pitch accelerations.
dc.identifier.citationEconomou J, Purdy D, Galvao Wall D, Diskett D & Simner D (2016) Intelligent based terrain preview controller for a 3-axle vehicle. In: 13th International Symposium on Advanced Vehicle Control, AVEC'16, Munich, 13-16 September 2016.en_UK
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/10777
dc.identifier.urihttps://www.crcpress.com/Advanced-Vehicle-Control-Proceedings-of-the-13th-International-Symposium/Edelmann-Plochl-Pfeffer/p/book/9781315265285
dc.publisherAVEC 16en_UK
dc.titleIntelligent based terrain preview controller for a 3-axle vehicleen_UK
dc.typeConference paperen_UK

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