SciELO - Scientific Electronic Library Online

 
 número56Reactores aerobios de lecho fluidizado trifásico con circulación interna: caracterización hidrodinámica y del soporteEstimación del balance de Nitrógeno en un humedal construido subsuperficial plantado con Heliconia psittacorum para el tratamiento de aguas residuales domésticas índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Revista Facultad de Ingeniería Universidad de Antioquia

versión impresa ISSN 0120-6230versión On-line ISSN 2422-2844

Resumen

CUBILLOS VARELA, Alfonso  y  BARRERO MENDOZA, Oscar. Design and implementation of a strategy of predictive control of paddy rice drying. Rev.fac.ing.univ. Antioquia [online]. 2010, n.56, pp.78-86. ISSN 0120-6230.

In this paper we present a Model Predictive Controller (MPC) implemented in a rice drying process with inclined silo. A pilot system is used at scale of 1:10, and capacity of 25 kg. In this system temperature and humidity of the rice grains are measured as well as air humidity. Additionally, the flow and temperature of drying air are controlled and measured. In order to design the controller a model based on thin layer and physical first principles is obtained and validated. Then, a MPC controller is designed based on this model. The type of MPC controller used is Dynamic Matrix Control (DMC) which uses the system step and free responses to estimate the next optimal control input. As a result, a good performance of the controller is obtained, showing that this is a promising technology that can be used in the Paddy rice drying process. The results show improvements in: a) reduction in drying time and energy consumption, b) over drying is avoided, c) the drying process is homogeneous, hence the quality of rice grains is better. Consequently, a positive impact on the productivity of the milling regional industry can be reached.

Palabras clave : PPaddy rice; predictive control dmc; thin layer model.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons