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Identification of vehicle parameters and estimation of vertical forces

Author

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  • H. Imine
  • L. Fridman
  • T. Madani

Abstract

The aim of the present work is to estimate the vertical forces and to identify the unknown dynamic parameters of a vehicle using the sliding mode observers approach. The estimation of vertical forces needs a good knowledge of dynamic parameters such as damping coefficient, spring stiffness and unsprung masses, etc.In this paper, suspension stiffness and unsprung masses have been identified by the Least Square Method.Real-time tests have been carried out on an instrumented static vehicle, excited vertically by hydraulic jacks. The vehicle is equipped with different sensors in order to measure its dynamics. The measurements coming from these sensors have been considered as unknown inputs of the system. However, only the roll angle and the suspension deflection measurements have been used in order to perform the observer. Experimental results are presented and discussed to show the quality of the proposed approach.

Suggested Citation

  • H. Imine & L. Fridman & T. Madani, 2015. "Identification of vehicle parameters and estimation of vertical forces," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(16), pages 2996-3009, December.
    • Handle: RePEc:taf:tsysxx:v:46:y:2015:i:16:p:2996-3009
    DOI: 10.1080/00207721.2014.886741
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    Cited by:

    1. Lin, Cheng & Gong, Xinle & Xiong, Rui & Cheng, Xingqun, 2017. "A novel H∞ and EKF joint estimation method for determining the center of gravity position of electric vehicles," Applied Energy, Elsevier, vol. 194(C), pages 609-616.

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