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2020 | OriginalPaper | Chapter

Identification of Kinematic Points Based on KnC Measurements from the Suspension Motion Simulator

Authors: Chao Liu, Yi Zhang, Clemens Deubel, Felix Kocksch, Jan Kubenz, Günther Prokop

Published in: Advances in Dynamics of Vehicles on Roads and Tracks

Publisher: Springer International Publishing

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Abstract

A systematic method to identify the kinematic point positions (x-, y- and z-values) of a rear axle has been developed with help of Kinematics and Compliance (KnC) measurements from the Suspension Motion Simulator (SMS) at TU Dresden. The kinematic points were at first measured with a ROMER arm, which is a coordinate measurement machine (CMM). The KnC simulation results of a MBS (Multibody System) model in ADAMS/Car based on CMM data were verified by KnC measurements from the SMS test rig. To reduce the calculation time, the total identification process was defined in two steps, rough and fine identification. In the first step of rough identification, the boundary conditions were constant lengths of links or constant distances between two kinematic points as to find possible spatial positions of kinematic points in a restricted range. For fine identification, the objective function considered also the KnC characteristic curve error between MBS simulations and test rig measurements, which was realized by a simulation exchange between ADAMS/Car and MATLAB. The errors between identified positions of kinematic points and CMM data were in an acceptable range, which has validated the developed identification method.
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Metadata
Title
Identification of Kinematic Points Based on KnC Measurements from the Suspension Motion Simulator
Authors
Chao Liu
Yi Zhang
Clemens Deubel
Felix Kocksch
Jan Kubenz
Günther Prokop
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-38077-9_204

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