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Advanced, Contemporary Control pp 1104–1115Cite as

Model Predictive Control of a Dynamic System with Fast and Slow Dynamics: Implementation Using PLC

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1196))

Abstract

The article presents Model Predictive Control (MPC) of a multivariable laboratory process using Programmable Logic Controller (PLC). The Dynamic Matrix Control (DMC) MPC algorithm is used in which a step-response model of the process is used for prediction. Two main practical issues are discussed. Firstly, it is shown how to deal with DMC control of a dynamical systems in which some variables react quickly and some slowly. In order to deal with fast and slow dynamics, a decomposed control structure based on the DMC algorithm is used. Secondly, the decomposed DMC control structure is implemented using the PLC controller, taking into account the PLC resources. Results of real laboratory experiments are present to show effectiveness of the discussed method.

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Authors and Affiliations

  1. Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665, Warsaw, Poland

    Sebastian Plamowski

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  1. Sebastian Plamowski
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Correspondence to Sebastian Plamowski .

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Editors and Affiliations

  1. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Andrzej Bartoszewicz

  2. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Jacek Kabziński

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Plamowski, S. (2020). Model Predictive Control of a Dynamic System with Fast and Slow Dynamics: Implementation Using PLC. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds) Advanced, Contemporary Control. Advances in Intelligent Systems and Computing, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-50936-1_92

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