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Estimation of Parameters for a Hydrodynamic Transmission System Mathematical Model with the Application of Genetic Algorithm

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IUTAM Symposium on Evolutionary Methods in Mechanics

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 117))

Abstract

In this paper application of genetic algorithm for estimation of parameters for a mathematical model of hydrodynamic transmission system was introduced. The measurements needed for estimation procedure were performed on the test rig. The modeling errors of hydrodynamic transmission system obtained by using genetic algorithm are comparable with the values which were obtained by using the Monte Carlo method. As a result it was concluded that a genetic algorithm can be successfully applied to identify hydrodynamic transmission system.

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References

  1. Prokofiev W. N.: Power Engineering and Transport, Moscow: Influence of Interaction of Stream with Limiting Walls for Transient Processes Analysis. 3, 1963, pp. 377–380. (in russian)

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Author information

Authors and Affiliations

  1. Institute of Applied Mechanics, Technical University of Radom, Poland

    Andrzej Kęsy, Zbigniew Kęsy & Arkadiusz Kądziela

Authors
  1. Andrzej Kęsy
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  2. Zbigniew Kęsy
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  3. Arkadiusz Kądziela
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Editor information

Editors and Affiliations

  1. Department for Strength of Materials, Silesian University of Technology, Gliwice, Poland

    Tadeusz Burczyński

  2. Institute of Computer Modelling, Cracow University of Technology, Cracow, Poland

    Tadeusz Burczyński

  3. Department of Applied Computer Science, Faculty of Management, AGH University of Science and Technology, Cracow, Poland

    Andrzej Osyczka

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© 2004 Kluwer Academic Publishers

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Kęsy, A., Kęsy, Z., Kądziela, A. (2004). Estimation of Parameters for a Hydrodynamic Transmission System Mathematical Model with the Application of Genetic Algorithm. In: Burczyński, T., Osyczka, A. (eds) IUTAM Symposium on Evolutionary Methods in Mechanics. Solid Mechanics and Its Applications, vol 117. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2267-0_14

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  • DOI: https://doi.org/10.1007/1-4020-2267-0_14

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-2266-1

  • Online ISBN: 978-1-4020-2267-8

  • eBook Packages: Springer Book Archive

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