Heavy vehicle suspension parameters identification and estimation of vertical forces: experimental results |
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| Authors: | H. Imine T. Madani |
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| Affiliation: | 1. COSYS Department, University Paris Est, Laboratoire Exploitation, Perception, Simulateurs et Simulations, LEPSIS-IFSTTAR, Champs sur Marne, Francehocine.imine@ifsttar.fr;3. University Paris-Est Créteil (UPEC), Images, Signals and Intelligent Systems Laboratory (LiSSi), Créteil, France |
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| Abstract: | The aim of the present work is to estimate the vertical forces of heavy vehicle and identify the unknown dynamic parameters using sliding mode observer approach. This observation needs a good knowledge of dynamic parameters such as damping coefficient, spring stiffness, etc. In this paper, suspension stiffness and unsprung masses have been identified. Experimental results carried out on an instrumented tractor have been presented in order to show the quality of the state observation, parameters identification and force estimation. These estimation results are then compared to the measured one coming from the sensors installed in the tractor. Many scenarios have been tested. In this paper, the results coming from zigzag test have been shown and commented. |
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| Keywords: | heavy vehicle modelling vertical forces sliding mode observer identification |
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