Experimental validation of a truck roll model using asynchronous measurements with low signal-to-noise ratios

W.J.E. Evers, I.J.M. Besselink, A.P. Teerhuis, T.A.E. Oomen, H. Nijmeijer

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

There is a large body of literature on model validation, but there is no method available that can effectively use asynchronous repeated measurements with low signal-to-noise ratios. The aim of this paper is to present a novel frequency-domain model validation method, which is suitable for this type of measurements. The practical relevance of the validation problem is demonstrated by means of a 4-DOF roll model, representing the front dynamics of a tractor semi-trailer system (heavy-duty truck), which is confronted with a large set of measurement data obtained from various experimental driving tests. The validation method is successfully used. It is concluded that the roll model gives a reasonably accurate description of the front roll dynamics, although the model is relatively uncertain around the cabin resonance frequency. The proposed validation method is considered to be a valuable tool to objectively evaluate the quality of vehicle models.
Original languageEnglish
Title of host publicationProceedings of the 2010 American Control Conference (ACC 2010), 30 June 30 - 2 July 2010, Baltimore, Maryland, USA
Pages4588-4593
Publication statusPublished - 2010

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