This paper addresses the identification of the inertial parameters of a dynamic front suspension. The concept of inertia and mass transfer is used to obtain three different sets of base parameters, reducing them to the relevant parameters through the analysis of dynamic contribution. These models are compared with two models obtained by numerical methods, which have no physical meaning. The evaluation is performed by crossing data with different trajectories to those used in the identification process. The results show that the use of inertia and mass transfer in the selection of potential base parameters generates well-conditioned models that are very close to the original model behavior.
Dynamic Parameter Identification in the Front Suspension of a Vehicle: On the Influence of Different Base Parameter Sets
2015
12 Seiten
Conference paper
English
Rail vehicle suspension parameter identification
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