Control scheme selection and optimal tuningin industrial process control using factorialexperiment design

Authors

DOI:

https://doi.org/10.17533/udea.redin.20201010

Keywords:

Optimal control tuning, process control, design of experiments, factorial design

Abstract


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

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Author Biographies

David Roberto Acosta Villamil, Universidad del Norte

PhD Student, Mechanical Engineering Department

José Fernando Noguera Polania, Universidad Cooperativa de Colombia

PhD, Full Time Professor, Electronic Engineering Program

Arnaldo Verdeza Villalobos, Universidad Simón Bolívar

PhD Student, Mechanical Engineering Department

Blanca Luz Foliaco Romero, Universidad del Norte

Doctoral Student, Department of Mechanical Engineering 

 

 

 

 

 

Adriana Fernanda Rincón Montenegro, Universidad del Norte

PhD Student, Mechanical Engineering Department

Marco Enrique Sanjuan Mejía, Universidad del Norte

Professor, Mechanical Engineering Department

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Published

— Updated on 2020-10-29

How to Cite

Acosta Villamil, D. R., Noguera Polania, J. F., Verdeza Villalobos, A., Foliaco Romero, B. L., Rincón Montenegro, A. F., & Sanjuan Mejía, M. E. (2020). Control scheme selection and optimal tuningin industrial process control using factorialexperiment design. Revista Facultad De Ingeniería Universidad De Antioquia, (103), 34–43. https://doi.org/10.17533/udea.redin.20201010

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