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- Title
Control scheme selection and optimal tuning in industrial process control using factorial experiment design.
- Authors
Roberto Acosta-Villamil, David; Fernando Noguera-Polania, José; Verdeza-Villalobos, Arnaldo; Luz Foliaco-Romero, Blanca; Fernanda Rincón-Montenegro, Adriana; Enrique Sanjuan-Mejía, Marco
- Abstract
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.
- Subjects
FACTORIAL experiment designs; PROCESS control systems; ENERGY consumption; PID controllers; PROTOTYPES; MANUFACTURING processes
- Publication
Revista Facultad de Ingeniería Universidad de Antioquia, 2022, Issue 103, p34
- ISSN
0120-6230
- Publication type
Article
- DOI
10.17533/udea.redin.20201010