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Comparing MIMO Process Control Methods on a Pilot Plant

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Abstract

This work presents a comparison among three different control strategies for multivariable processes. The techniques were implemented in a pilot plant with coupled control loops, where all steps used to design the controllers were described allowing to establish a trade-off between algorithm complexity, information needed from the process and achieved performance. Two data-driven control techniques are used: multivariable ultimate point method to design a decentralized PID controller and virtual reference feedback tuning to design a centralized PID controller. A mathematical model of the process is obtained and used to design a model-based generalized predictive controller. Experimental results allow us to evaluate the performance achieved for each method, as well as to infer on their advantages and disadvantages.

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Notes

  1. For PID controller parameters see Campestrini et al. (2009).

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Authors and Affiliations

  1. Departamento de Sistemas Elétricos de Automação e Energia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

    E. Boeira, V. Bordignon & L. Campestrini

  2. Departamento de Matemática Pura e Aplicada, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

    D. Eckhard

Authors
  1. E. Boeira
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  2. V. Bordignon
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  3. D. Eckhard
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  4. L. Campestrini
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Corresponding author

Correspondence to L. Campestrini.

Additional information

E. Boeira, V. Bordignon, D. Eckhard and L. Campestrini are supported by CNPq.

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Boeira, E., Bordignon, V., Eckhard, D. et al. Comparing MIMO Process Control Methods on a Pilot Plant. J Control Autom Electr Syst 29, 411–425 (2018). https://doi.org/10.1007/s40313-018-0387-6

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  • DOI: https://doi.org/10.1007/s40313-018-0387-6

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