Predictive and adaptive nonlinear controller applied to a drying process of cocoa beans

Parra Rosero Pablo; Ipanaque Alama William; Manrique Jose; Oliden Jose

doi:10.1109/ETCM.2016.7750842

Predictive and adaptive nonlinear controller applied to a drying process of cocoa beans

Título traducido de la contribución: Controlador no lineal predictivo y adaptativo aplicado a un proceso de secado de cacao en grano

Parra Rosero Pablo
, Ipanaque Alama William
, Manrique Jose
, Oliden Jose

Grupo de Investigación de Procesos Industriales (GIPI)

Producción científica: Contribución a una conferencia › Documento

6 Citas (Scopus)

Resumen

© 2016 IEEE. This paper describes the study for the design of a predictive controller based on the parametric model obtained for a dryer cocoa plant. The drying system is a nonlinear process, the parametric model obtained is nonlinear, these conditions allowed test the performance of algorithm NEPSAC (extended, predictive and self-adaptive nonlinear controller). It shows characteristics of the plant and a brief description of nonlinear model of the plant is made. The controller design details are shown and furthermore NEPSAC results are compared with Generalized Model Predictive Control (GPC) and PID control results. The implementation of the controllers was done using MATLAB® Software and an embedded system for the collect of the data.

Título traducido de la contribución	Controlador no lineal predictivo y adaptativo aplicado a un proceso de secado de cacao en grano
Idioma original	Inglés
DOI	https://doi.org/10.1109/ETCM.2016.7750842
Estado	Publicada - 21 nov. 2016
Evento	2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016 - Quito, Ecuador Duración: 12 oct. 2016 → 14 oct. 2016

Conferencia

Conferencia	2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016
Título abreviado	ETCM 2016
País/Territorio	Ecuador
Ciudad	Quito
Período	12/10/16 → 14/10/16

Areas de Conocimiento del CACES

527A Producción industrial

Acceder al documento

10.1109/ETCM.2016.7750842

Otros archivos y enlaces

Estrategias de control predictivo para procesos industriales
Parra Rosero, P. G. (Investigador principal), Vega Ureta, N. T. (Investigador Secundario) & Martiillo Ayala, D. H. (Investigador Externo)
19/05/15 → 23/03/18
Proyecto: Investigación y Desarrollo

Citar esto

@conference{cfb5a737fdc64440aed9942f389beb83,

title = "Predictive and adaptive nonlinear controller applied to a drying process of cocoa beans",

abstract = "{\textcopyright} 2016 IEEE. This paper describes the study for the design of a predictive controller based on the parametric model obtained for a dryer cocoa plant. The drying system is a nonlinear process, the parametric model obtained is nonlinear, these conditions allowed test the performance of algorithm NEPSAC (extended, predictive and self-adaptive nonlinear controller). It shows characteristics of the plant and a brief description of nonlinear model of the plant is made. The controller design details are shown and furthermore NEPSAC results are compared with Generalized Model Predictive Control (GPC) and PID control results. The implementation of the controllers was done using MATLAB{\textregistered} Software and an embedded system for the collect of the data.",

author = "Pablo, \{Parra Rosero\} and William, \{Ipanaque Alama\} and Manrique Jose and Oliden Jose",

year = "2016",

month = nov,

day = "21",

doi = "10.1109/ETCM.2016.7750842",

language = "English",

note = "2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016 ; Conference date: 12-10-2016 Through 14-10-2016",

}

TY - CONF

T1 - Predictive and adaptive nonlinear controller applied to a drying process of cocoa beans

AU - Pablo, Parra Rosero

AU - William, Ipanaque Alama

AU - Jose, Manrique

AU - Jose, Oliden

PY - 2016/11/21

Y1 - 2016/11/21

N2 - © 2016 IEEE. This paper describes the study for the design of a predictive controller based on the parametric model obtained for a dryer cocoa plant. The drying system is a nonlinear process, the parametric model obtained is nonlinear, these conditions allowed test the performance of algorithm NEPSAC (extended, predictive and self-adaptive nonlinear controller). It shows characteristics of the plant and a brief description of nonlinear model of the plant is made. The controller design details are shown and furthermore NEPSAC results are compared with Generalized Model Predictive Control (GPC) and PID control results. The implementation of the controllers was done using MATLAB® Software and an embedded system for the collect of the data.

AB - © 2016 IEEE. This paper describes the study for the design of a predictive controller based on the parametric model obtained for a dryer cocoa plant. The drying system is a nonlinear process, the parametric model obtained is nonlinear, these conditions allowed test the performance of algorithm NEPSAC (extended, predictive and self-adaptive nonlinear controller). It shows characteristics of the plant and a brief description of nonlinear model of the plant is made. The controller design details are shown and furthermore NEPSAC results are compared with Generalized Model Predictive Control (GPC) and PID control results. The implementation of the controllers was done using MATLAB® Software and an embedded system for the collect of the data.

UR - https://www.scopus.com/pages/publications/85006995207

UR - https://www.scopus.com/pages/publications/85006995207#tab=citedBy

U2 - 10.1109/ETCM.2016.7750842

DO - 10.1109/ETCM.2016.7750842

M3 - Paper

T2 - 2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016

Y2 - 12 October 2016 through 14 October 2016

ER -

Predictive and adaptive nonlinear controller applied to a drying process of cocoa beans

Resumen

Conferencia

Areas de Conocimiento del CACES

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

Estrategias de control predictivo para procesos industriales

Citar esto