GPC based on operating point dependent parameters linear model for thermal process

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 nonlinearsubsystem 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.