An approach of state space modelling for indirect tire pressure monitoring

dc.contributor.authorCooray, TMJA
dc.date.accessioned2013-12-27T20:28:07Z
dc.date.available2013-12-27T20:28:07Z
dc.date.issued2005
dc.description.abstractIn this paper, dynamical vehicle models and Time dependent State Space model have successfully been used to detect tire pressure losses(non observabilty). When the pressure is decreased in a tire, the corresponding wheel radius is reduced and the angular velocity increases. The basic idea behind this paper, is to indirectly estimate the wheel radius via secondary existing sensors. Two dynamical vehicle models, in which the relative wheel radius is included as model parameters, are formed. With these models any combination of pressure loss in the tires can be detecteden_US
dc.identifier.conferenceERU - Research for industryen_US
dc.identifier.pgnospp. 285-301en_US
dc.identifier.proceedingProceedings of the 11th annual symposium 2005en_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/9654
dc.identifier.year2005en_US
dc.language.isoenen_US
dc.titleAn approach of state space modelling for indirect tire pressure monitoringen_US
dc.typeConference-Full-texten_US

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