Authors:
Riad Riadi
1
;
Rousseau Tawegoum
1
;
Gérard Chasseriaux
1
and
Ahmed Rachid
2
Affiliations:
1
Unité de Sciences Agronomiques appliquées à l’Horticulture SAGAH A_462, INH-INRA-UA, Institut National d’Horticulture, France
;
2
Université de Picardie Jules Verne. IUP GEII, France
Keyword(s):
HVAC system, non linear system, generalized predictive control, operating point dependent parameters model, temperature control.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Identification
Abstract:
This paper presents the application of generalized predictive control strategy (GPC) based on an OPDPLM (Operating Point Dependent Parameters Linear Model) structure to a heating and ventilation nonlinear-subsystem of a complex passive air-conditioning unit. For this purpose, several discrete-time models were identified with respect to measurable exogenous events. The parameters of the identified models change according operating conditions (sliding opening window). The objective of the studied subsystem was to guarantee a microclimate with controlled temperature set-points. The on line adaptive strategy was implemented to compute the controller parameters in order to adapt to the operating conditions variations. Efficiency of the resulting algorithm is illustrated by a real experiment.