Experimental validation of a truck roll model using asynchronous measurements with low signal-to-noise ratios
conference paper
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. © 2010 AACC.
Topics
Asynchronous measurementDriving testExperimental validationsFrequency domainsFront dynamicsHeavy duty trucksLow signal-to-noise ratioMeasurement dataModel validationRepeated measurementsResonance frequenciesRoll dynamicsSemi-trailersValidation methodsVehicle modelResonanceSignal to noise ratioTrucksQuality control
TNO Identifier
425175
ISBN
9781424474264
Article nr.
No.: 5530880
Source title
2010 American Control Conference, ACC 2010, 30 June - 2 July 2010, Baltimore, MD, USA
Collation
6 p.
Pages
4588-4593
Files
To receive the publication files, please send an e-mail request to TNO Repository.