GPC multivariable control applied to temperature and humidity neonate incubators

Author

Zermani, M.A. ; Feki, E. ; Mami, Abdelkader

Author_Institution

Lab. de Rech. Anal. et Commande des Syst., Univ. de Tunis El Manar, Tunis, Tunisia

fYear

2013

fDate

21-23 March 2013

Firstpage

1

Lastpage

6

Abstract

This paper presents a multivariable predictive control algorithm to resolve the coupling effect in closed loop systems. The desired decoupling is achieved by including an appropriate weighting factor on the objective function of predictive control. This weighting factor is tuned in synchronization to the error observation to eliminate the strong interaction. The proposed algorithm is applied to the control of humidity and temperature of a neonatal incubator. Simulation results are verified and compared with the others algorithm in the literature.

Keywords

humidity control; medical control systems; multivariable control systems; paediatrics; predictive control; temperature control; GPC multivariable control; closed loop system; coupling effect; error observation; generalized predictive control; humidity control; humidity neonate incubator; multivariable predictive control algorithm; objective function; synchronization; temperature control; temperature neonate incubator; weighting factor; Equations; Humidity; Prediction algorithms; Predictive control; Simulation; Temperature; Transfer functions; decoupling; incubator; predictive control; weight factor;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-6302-0

Type

conf

DOI

10.1109/ICEESA.2013.6578492

Filename

6578492