PID and Sliding Mode Control for a Reactor-Separator-Recycler System: A Regulatory Controllers’ Comparison

Roberto Arroba, Karina Rocha, Marco Herrera, Paulo Leica, Oscar Camacho

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

One of the most common methods to obtain propylene glycol (PG) is using a Re-actor-Separator-Recycle (RSR) system. The control of temperature and reagent concentration during the process operation are essentials for the optimal performance of this chemical process. Those variables are regulated using control techniques to maintain the process in the operating points in the presence of disturbance. However, the nonlinear behavior of the process limits the range of operating point using classical controls, being robust control an alternative for nonlinear processes. Here, the performance of classical and robust control techniques in the presence of disturbance in the mixing point is simulated in an RSR system to obtain PG. The results show through of the Integral Square Error (ISE) index that robust control techniques have better efficiency and soft control action than classical techniques when a stronger disturbance is applied.

Idioma originalInglés
Título de la publicación alojadaSystems and Information Sciences - Proceedings of ICCIS 2020
EditoresMiguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas366-377
Número de páginas12
ISBN (versión impresa)9783030591939
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador
Duración: 27 jul. 202029 jul. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1273 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia1st International Conference on Systems and Information Sciences, ICCIS 2020
País/TerritorioEcuador
CiudadManta
Período27/07/2029/07/20

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