HAL : hal-00351748, version 2

DOI : 10.1016/j.compchemeng.2003.08.007

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Computers and Chemical Engineering 28, 4 (2004) 545-556

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v1 (12-01-2009)

v2 (21-01-2009)

A partial differential equation model predictive control strategy: Application to autoclave composite processing

Pascal Dufour 1, Youssoufi Touré 2, Dennis J Michaud 3, Prasad S. Dhurjati 3

(2004)

A general framework for a partial differential equation (PDE) model predictive control problem is formulated. A first principle model of the system, described by a semi-linear PDE system with boundary control, is employed in a model predictive control (MPC) framework. Here, the aim is to determine, off-line (i.e. without process measurement), the theoretical optimal behavior of the process that will be used during on-line MPC. Input and output constraints are handled in the optimization task using a non-linear programming method. This strategy is evaluated for the optimization of processing temperatures during the manufacture of thick-sectioned polymer composite laminates. The off-line optimization task consists of determining the optimal temperature profile, otherwise known as the cure cycle. Moreover, for this particular process, the existence of a feasible constrained optimization problem is discussed through the design of a constraint bound.

1 :	Laboratoire d'automatique et de génie des procédés (LAGEP)
	CNRS : UMR5007 – Université Claude Bernard - Lyon I – École Supérieure Chimie Physique Électronique de Lyon
2 :	Laboratoire Vision et Robotique (LVR)
	Université d'Orléans – Ecole Nationale Supérieure d'Ingénieurs de Bourges
3 :	Department of Chemical Engineering, University of Delaware (DoCE)
	University of Delaware

Domaine

:

Sciences de l'ingénieur/Automatique / Robotique Sciences de l'ingénieur/Génie des procédés Sciences de l'ingénieur/Matériaux

Mots Clés : Model predictive control – distributed parameter model – nonlinear programming – trajectory optimization – composite manufacturing – autoclave curing process.

hal-00351748, version 2

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Contributeur : Pascal Dufour <>

Soumis le : Mercredi 21 Janvier 2009, 17:05:37

Dernière modification le : Mercredi 21 Janvier 2009, 22:16:42