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On Choice of the Sampling Period and the Horizons in Generalized Predictive Control

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Recent Advances in Automation, Robotics and Measuring Techniques

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 267))

Abstract

This paper describes an efficient tuning procedure of the Generalized Predictive Control (GPC) algorithm. It consists of two stages: at first the sampling period is chosen and next the prediction and control horizons are selected which result in the best control quality. Tuning of the GPC algorithm applied to a simulated multi-input multi-output depropaniser distillation column is considered.

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References

  1. Camacho, E.F., Bordons, C.: Model Predictive Control. Springer, London (1999)

    Book  Google Scholar 

  2. Clarke, D.W., Mohtadi, C.: Properties of generalized predictive control. Automatica 25, 859–875 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  3. Clarke, D.W., Mohtadi, C., Tuffs, P.S.: Generalized predictive control. Automatica 23, 137–160 (1987)

    Article  MATH  Google Scholar 

  4. Maciejowski, J.M.: Predictive control with constrains. Prentice Hall, Harlow (2002)

    Google Scholar 

  5. Qin, S.J., Badgwell, T.A.: A survey of industrial model predictive control technology. Control Engineering Practice 11, 733–764 (2003)

    Article  Google Scholar 

  6. Qing-Guo, W., Yu, Z., Min-Sen, C.: Non-interacting control design for multivariable industrial processes. Journal of Process Control 13, 253–265 (2003)

    Article  Google Scholar 

  7. Scattolini, R., Bittanti, S.: On the choice of the horizon in long-range predictive control–some simple criteria. Automatica 26, 915–917 (1990)

    Article  MATH  Google Scholar 

  8. Tatjewski, P.: Advanced control of industrial processes, Structures and algorithms. Springer, London (2007)

    MATH  Google Scholar 

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Correspondence to Antoni Wysocki .

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Wysocki, A., Ławryńczuk, M. (2014). On Choice of the Sampling Period and the Horizons in Generalized Predictive Control. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Recent Advances in Automation, Robotics and Measuring Techniques. Advances in Intelligent Systems and Computing, vol 267. Springer, Cham. https://doi.org/10.1007/978-3-319-05353-0_32

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  • DOI: https://doi.org/10.1007/978-3-319-05353-0_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05352-3

  • Online ISBN: 978-3-319-05353-0

  • eBook Packages: EngineeringEngineering (R0)

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