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European Control Conference (ECC), Karlsruhe : Allemagne (1999)

Available versions:

v1 (2009-01-14)

v2 (2009-02-04)

Optimal trajectory determination and tracking of an autoclave curing process: A model based approach

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

(1999-09)

This work deals with a model-based approach to non-linear (NL) parabolic PDE control. We address two problems in the optimization and control of the autoclave lay-up curing process. The first is to find the best process trajectory corresponding to the shortest possible operating time. The second is to determine the process control required to track the optimized trajectory within the constraints of the system. In previous work, a simulation based approach was used called local criteria optimization (LCO). Here the former problem is stated as a constrained optimization problem. A predictive type approach with a penalty method is solved by the Levenberg-Marquardt (LM) algorithm. For the tracking problem, the well-known Internal Model Control (IMC) structure is used for the predictive control strategy. Finally, we show that a time-varying linear model around the optimal profile can be used for the on-line optimization.

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

Subject

:

Engineering Sciences/Automatic Engineering Sciences/Chemical and Process Engineering

Keyword(s): Model predictive control – constrained optimization – distributed parameter system control – curing process.

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From: Pascal Dufour <>

Submitted on: Thursday, 22 January 2009 13:50:10

Updated on: Wednesday, 4 February 2009 17:45:50