Resumen

ACOSTA-VILLAMIL, David Roberto et al. Control scheme selection and optimal tuning in industrial process control using factorial experiment design. Rev.fac.ing.univ. Antioquia [online]. 2022, n.103, pp.34-43.  Epub 17-Feb-2022. ISSN 0120-6230.  https://doi.org/10.17533/udea.redin.20201010.

In this study, a novel experimental approach for the optimal selection of an actuator-based control strategy is presented. The proposed approach is a two-stage method: first, a two-level factorial experiment design with n factors (2n) was applied to compare different control schemes. Schemes comparison was carried out in terms of energy consumption and closed-loop performance. For the best relative scheme, a Central Composite Face-centered (CCF) design was completed obtaining the controller parameters that optimize the performance in terms of the Integral Absolute Error (IAE) while operating in a region of low energy consumption. The proposed approach was experimentally tested using real data obtained from a laboratory prototype plant. Some experimental tests illustrating the suitability of our method are shown at the end of this article.

Palabras clave : Optimal control tuning; process control; design of experiments; factorial design.

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