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A methodology for areal modeling of structural dynamics based on a Takagi–Sugeno fuzzy system

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Abstract

For simulation analysis and controller design mathematical models are necessary. This also applies to characterize the structural dynamics of mechanical systems, but current modeling approaches are limited to describe a restricted amount of predefined geometric points. A procedure to model the mechanical behavior of an arbitrary point along a line or within a surface area is missing. We propose a novel method to tackle this issue, by adapting Takagi–Sugeno Fuzzy Systems and combining them with the general linear description of mechanical systems. The presented method consists of two paths, each designed to meet a specific purpose, subject to numerical complexity and representation aberration. In the end, both cases lead to nonlinear differential equations, which provide a continuous estimation of the properties of an area. The accuracy and performance of our approach is verified by different experimental and simulation setups. One specific example is a galvanometer laser scanner, for which the new method is inevitable for a precise system modeling.

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References

  1. Schweier M, Heins JF, Haubold WM, Zaeh MF (2013) Spatter formation in laser welding with beam oscillation. Phys Proced 41:20–30

    Article  Google Scholar 

  2. Yamaguchi T, Hirata M, Pang CK (2014) Advances in high-performance motion control of mechatronic systems. CRC Press, Abingdon

    Google Scholar 

  3. Mnerie C A, Preitl S, Duma V-F (2013) Performance enhancement of galvanometer scanners using extended control structures. In: IEEE 8th international symposium on applied computational intelligence and informatics (SACI), Timisoara, pp 127–130

  4. Yoo H W, Ito S, Verhaegen M, Schitter G (2013) Transformation-based iterative learning control for non-collocated sensing of a galvanometer scanner. In: 2013 IEEE 8th international symposium on applied computational intelligence and informatics (SACI), Timisoara, pp 1204–1209

  5. Toyama S, Okado Y, Maeda Y, Iwasaki M, Hirai H (2013) Adaptive deadbeat feedforward compensation for robust positioning performance against plant perturbations. In: IEEE international conference on mechatronics (ICM), Vicenza, pp 670–675

  6. Ewins DJ (1995) Modal testing: theory and practice. Research Studies Press, Taunton, Newtown

    Google Scholar 

  7. Maia NMM, Silva JMM (1997) Theoretical and experimental modal analysis. Research Studies Press Ltd., Taunton, Newtown

    Google Scholar 

  8. Pieczona SJ, Muratore F, Zaeh MF (2016) An approach for modeling the structural dynamics of a mechanical system based on a Takagi–Sugeno representation. In: Conference on competitive manufacturing, Stellenbosch, pp 391–398

  9. Craig RR, Kurdila A (2006) Fundamentals of structural dynamics, 2nd edn. Wiley, Hoboken

    MATH  Google Scholar 

  10. Silva G, Le Riche R, Molimard J, Vautrin A (2007) Exact and efficient interpolation using finite elements shape functions. Technical Report hal-00122640. Available from https://hal.archives-ouvertes.fr/hal-00122640

  11. Hughes T (2012) Finite element method: linear static and dynamic finite element analysis. Dover Publications, Mineola

    Google Scholar 

  12. Chen C-W, Yeh K, Chiang W-L, Chen C-Y, Wu D-J (2007) Modeling, H control and stability analysis for structural systems using Takagi–Sugeno fuzzy model. J Vib Control 13:1519–1534

    Article  MathSciNet  MATH  Google Scholar 

  13. Chen C-W (2006) Stability conditions of fuzzy systems and its application to structural and mechanical systems. Adv Eng Softw 37:624–629

    Article  Google Scholar 

  14. Ferreira CCT, de Oliveira Serra GL (2011) Fuzzy frequency response estimation from experimental data: definition and application in mechanical structures of aircraft and aerospace vehicles. In: 9th IEEE international conference on control and automation, vol 9, Santiago, pp 1225–1230

  15. Gawronski WK (2004) Advanced structural dynamics and active control of structures. Springer, New York

    Book  MATH  Google Scholar 

  16. Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modelling and control. IEEE Trans Syst Man Cybern 15:116–132

    Article  MATH  Google Scholar 

  17. Tanaka K, Wang HO (2001) Fuzzy control systems design and analysis: a linear matrix inequality approach. Wiley, New York

    Book  Google Scholar 

  18. Diepold KJ, Pieczona SJ (2012) Recurrent Takagi–Sugeno fuzzy interpolation for switched linear systems and hybrid automata. In: Proceedings of the IEEE international conference on fuzzy systems (FUZZ-IEEE), Brisbane, pp 1–8

  19. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning—I. Inf Sci 8:199–249

    Article  MathSciNet  MATH  Google Scholar 

  20. Kawamoto S, Tada K, Ishigame A, Taniguchi T (1992) An approach to stability analysis of second order fuzzy systems. In: Proceedings of first IEEE international conference on fuzzy systems, vol 1, San Diego, pp 1427–1434

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Acknowledgements

The research project “Highly Dynamic Nonlinear Position Control of Galvanometer Laser Scanners by New Hardware and Control Concepts” is funded by the AiF within the framework ZIM of the Federal Ministry for Economic Affairs and Energy because of a decision of the German Bundestag. We thank our sponsors for their support.

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Correspondence to S. J. Pieczona.

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Pieczona, S.J., Zaeh, M.F. A methodology for areal modeling of structural dynamics based on a Takagi–Sugeno fuzzy system. Prod. Eng. Res. Devel. 11, 587–599 (2017). https://doi.org/10.1007/s11740-017-0748-1

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  • DOI: https://doi.org/10.1007/s11740-017-0748-1

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