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Application of the Parametric Identification While Modelling the Dynamics of the Electro-Hydraulic Drive

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Mechatronics 2017 - Ideas for Industrial Applications (MECHATRONICS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 934))

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Abstract

The quality of control systems is one of the most important factors leading to proper operation of electro-hydraulic servo-drives. This paper discusses possibilities to apply the dynamic identification with a discrete linear model while assessing the state of the electro-hydraulic drive dynamics. This evaluation is crucial while designing modern power or positional control systems. Experimental data is applied in order to determine the model dynamics of the real system and estimate unknown parameters of an object model. The dependencies were interpreted. The paper includes the selected results of current identification tests of the electro-hydraulic drive system and based on them the discrete parametric object model was derived.

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Author information

Authors and Affiliations

  1. Faculty of Mechatronics and Machine Design, Kielce University of Technology, Kielce, Poland

    Piotr Wos & Ryszard Dindorf

Authors
  1. Piotr Wos
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  2. Ryszard Dindorf
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Corresponding author

Correspondence to Piotr Wos .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, The Silesian University of Technology, Gliwice, Poland

    Jerzy Świder

  2. Faculty of Mechanical Engineering, Institute of Theoretical and Applied Mechanics, The Silesian University of Technology, Gliwice, Poland

    Sławomir Kciuk

  3. Industrial Research Institute for Automation and Measurements PIAP, Warsaw, Poland

    Maciej Trojnacki

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Wos, P., Dindorf, R. (2019). Application of the Parametric Identification While Modelling the Dynamics of the Electro-Hydraulic Drive. In: Świder, J., Kciuk, S., Trojnacki, M. (eds) Mechatronics 2017 - Ideas for Industrial Applications. MECHATRONICS 2017. Advances in Intelligent Systems and Computing, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-15857-6_47

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  • DOI: https://doi.org/10.1007/978-3-030-15857-6_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15856-9

  • Online ISBN: 978-3-030-15857-6

  • eBook Packages: EngineeringEngineering (R0)

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