Modelling and System Identification of a Monotube Shock Absorber

  • Piotr Czop
  • Mariusz HetmańczykEmail author
  • Grzegorz Wszołek
  • Jakub Słoniewski
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 934)


This paper demonstrates linear and nonlinear system identification methods based on a first-principles monotube shock absorber model. Two models were considered, namely low- and high-content a priori knowledge first-principles models. Operational data collected during testing of a shock absorber on a servo-hydraulic test rig were used in order to validate the proposed system identification methods and evaluate their accuracy. The proposed approach in system identification has potentials for a wide range of engineering applications such as control of active and semi-active suspension system.


Shock absorber System identification Nonlinear model First-principles model 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Piotr Czop
    • 1
  • Mariusz Hetmańczyk
    • 2
    Email author
  • Grzegorz Wszołek
    • 2
  • Jakub Słoniewski
    • 1
  1. 1.AGH University of Science and TechnologyCracowPoland
  2. 2.The Silesian University of TechnologyGliwicePoland

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