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Multivariable Gain Scheduled Control of Four Tanks System: Single Scheduling Variable Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 466))

Abstract

Motivated by the special class of nonlinear systems, we introduce a scheduling technique that aims at extending the region of validity of linearization by designing an extra scheduling mechanism. Specifically, we show, how a simplification of a control problem may results in a considerably difficult scheduling procedure. In particular, the scheduling problem in the context of a nonlinear model of four tanks is addressed. The main innovation consists in the use of auxiliary scheduling variables dealing with the problem of limited number of output variables. This allows to construct a linear feedback controller at each operating point. Additionally, an integral control which ensures desired stability and performance requirements is presented. The resulting method has been integrated into the gain scheduled control design of the four tanks system and has shown a great performance through the operating range.

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References

  1. Jiang, J.: Optimal gain scheduling controllers for a diesel engine. IEEE Control Syst. Mag. 14(4), 42–48 (1994)

    Article  Google Scholar 

  2. Krhovják, A., Dostál, P., Talaš, S. Rušar, L.: Nonlinear gain scheduled controller for a sphere liquid tank. s.l. In: European Council for Modelling and Simulation (ECMS), pp. 327–332 (2015)

    Google Scholar 

  3. Krhovják, A., Dostál, P., Talaš, S., Rušar, L.: Multivariable gain scheduled control of two funnel liquid tanks in series. In: Strbske Pleso, s.n., pp. 60–65 (2015)

    Google Scholar 

  4. Khalil, H.K.: Nonlinear Systems, 3rd edn. Prentice Hall, Upper Saddle River (2002)

    MATH  Google Scholar 

  5. Lawrence, D.A., Rugh, W.J.: Gain scheduling dynamic linear controllers for a nonlinear plant. Automatica 31, 381–390 (1995)

    Google Scholar 

  6. Raff, T., Hubber, S., Nagy, Z.K., Allglöwer, F.: Nonlinear Model Predictive Control of a Four Tank System: An Experimental Stability Study, pp. 237–242. IEEE, Munich (2006)

    Google Scholar 

  7. Rugh, W.J.: Analytical framework for gain scheduling. IEEE Control Syst. Mag. 11(1), 79–84 (1991)

    Google Scholar 

  8. Shamma, J.S., Athans, M.: Analysis of gain scheduled control for nonlinear plants. IEEE Trans. Autom. Control 35(8), 898–907 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  9. Shamma, J.S., Athans, M.: Gain scheduling: potential hazards and possible remedies. IEEE Control Syst. Mag., 101–107 (1991)

    Google Scholar 

  10. Shamma, J.S., Athans, M.: Guaranteed properties of gain scheduled control of linear parameter-varying plants. Automatica 27(4), 559–564 (1991)

    Google Scholar 

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Acknowledgments

This article was created with support of the Ministry of Education of the Czech Republic under grant IGA reg. n. IGA/FAI/2016/006.

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Correspondence to Adam Krhovják .

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Krhovják, A., Talaš, S., Rušar, L. (2016). Multivariable Gain Scheduled Control of Four Tanks System: Single Scheduling Variable Approach. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Silhavy, P., Prokopova, Z. (eds) Automation Control Theory Perspectives in Intelligent Systems. CSOC 2016. Advances in Intelligent Systems and Computing, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-33389-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-33389-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33387-8

  • Online ISBN: 978-3-319-33389-2

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