Experimental Validation of a Quarter Truck Model Using Asynchronous Measurements with Low Signal-to-Noise Ratios

Given the growing interest in (semi-) active cabin suspension design for heavy-duty trucks, there is a strong need for reliable vehicle models which are suitable for controller design. The aim of this paper is to investigate the quality of a four degrees of freedom quarter truck heave model. Hereto, the model is confronted with a new set of asynchronous repeated measurements, with noise on both inputs and outputs, from a real tractor semi-trailer system (long-distance heavy-duty truck). A novel validation approach is presented, which is used to determine the minimum model uncertainty with which the model is not invalidated given the set of measurements. The method is successfully used to validate the quarter truck model. It is concluded that the model gives a good description of the front vertical dynamics, and is considered suitable for active cabin suspension design.