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Adjustment method of parameters intended for first-principle models

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: This paper demonstrates a process of estimation phenomenological parameters of a first-principle nonlinear model based on the hydraulic damper system. Design/methodology/approach: First-principle (FP) models are formulated using a system of continuous ordinary differential equations capturing usually nonlinear relations among variables of the model. The considering model applies three categories of parameters: geometrical, physical and phenomenological. Geometrical and physical parameters are deduced from construction or operational documentation. The phenomenological parameters are the adjustable ones, which are estimated or adjusted based on their roughly known values, e.g. friction/damping coefficients. Findings: A phenomenological parameter, friction coefficient, was successfully estimated based on the experimental data. The error between the model response and experimental data is not greater than 10%. Research limitations/implications: Adjusting a model to data is, in most cases, a non-convex optimization problem and the criterion function may have several local minima. This is a case when multiple parameters are simultaneously estimated. Practical implications: First-principle models are fundamental tools for understanding, optimizing, designing, and diagnosing technical systems since they are updatable using operational measurements. Originality/value: First-principle models are frequently adjusted by trial-and-error, which can lead to nonoptimal results. In order to avoid deficiencies of the trial-and-error approach, a formalized mathematical method using optimization techniques to minimize the error criterion, and find optimal values of tunable model parameters, was proposed and demonstrated in this work.
Rocznik
Strony
446--453
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
Bibliografia
  • [1] P. Czop, D. Sławik, G. Wszołek, Demonstration of First-Principle Data-Driven models using numerical case studies, Journal of Achievements in Materials and Manufacturing Engineering 45/2 (2011) 170-177.
  • [2] P. Czop, G. Kost, D. Sławik, G. Wszołek, Formulation and identification of First-Principle Data-Driven models, Journal of Achievements in Materials and Manufacturing Engineering 44/2 (2011) 179-186.
  • [3] P. Czop, G. Kost, D. Sławik, G. Wszołek, Formulation and identification of First-Principle Data-Driven models, Journal of Achievements in Materials and Manufacturing Engineering 44/2 (2011) 179-186.
  • [4] B. Sohlberg, E.W. Jacobsen, Grey Box Modeling - Branches and Experience, Proceedings of the 17th World Congress The International Federation of Automatic Control Seoul, 2008, 1235-1247.
  • [5] T. Bohlin, Practical grey-box process identification,Theory and Applications (Advances in Industrial Control), Springer Verlag, London, 2006.
  • [6] K. Białas, Synthesis of mechanical systems including passive or active elements reducing of vibrations, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 323-326.
  • [7] K. Białas, Comparison of passive and active reduction of vibrations of mechanical systems, Journal of Achievements in Materials and Manufacturing Engineering 18 (2006)455-458.
  • [8] T. Dzitkowski, A. Dymarek, Design and examining sensitivity of machine driving systems with required frequency spectrum, Journal of Achievements in Materials and Manufacturing Engineering 26/1 (2008) 49-56.
  • [9] P. Czop P. G. Wszołek, Advanced model structures applied to system identification of a servo-hydraulic test rig, Journal of Achievements in Materials and Manufacturing Engineering 41 (2010) 96-103.
  • [10] D. Braska, P. Czop, D. Sławik, G. Wszołek, Application of off-line error correction method software to reproduce random signals on servo-hydraulic testers, Journal of Achievements in Materials and Manufacturing Engineering 40/1 (2010) 41-49.
  • [11] D. Sławik, P. Czop, A. Król, G. Wszołek, Optimization of hydraulic dampers with the use of design for Six Sigma methodology, Journal of Achievements in Materials and Manufacturing Engineering 43/2 (2010) 676-683.
  • [12] P. Czop, D. Sławik, P. Sliwa, Static validation of a model of a disc valve system used in hydraulic dampers, International Journal of Vehicle Design 53/4 (2010) 317-342.
  • [13] P. Czop, D. Sławik, A high-frequency model of a hydraulic damper and servo-hydraulic tester, Mechanical Systems and Signal Processing 25/6 (2011) 1937-1955.
  • [14] J.C. Dixon, The hydraulic damper handbook, Wiley, England, 2007.
  • [15] L. Ljung, System identification - Theory for the user, Prentice-Hall, USA, 1999.
  • [16] Matlab/Simulink package documentation, The Math Works Inc., Natick 1998.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b718e9b5-abaa-4ece-8c7e-35e8f61ae0a6
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