Control scheme selection and optimal tuning in industrial process control using factorial experiment design
| Autor: | David Roberto Acosta Villamil, José Fernando Noguera Polania, Arnaldo Verdeza Villalobos, Blanca Luz Foliaco Romero, Adriana Fernanda Rincón Montenegro, Marco Enrique Sanjuan Mejía |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Revista Facultad de Ingeniería Universidad de Antioquia, Iss 103 (2020) |
| Druh dokumentu: | article |
| ISSN: | 0120-6230 2422-2844 |
| DOI: | 10.17533/udea.redin.20201010 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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