A nonlinear distributed parameter process control: An internal linearized model control approach

Pascal Dufour (1) , Youssoufi Touré (1) , Pierre Laurent (1)

1 LAGEP - Laboratoire d'automatique et de génie des procédés

This paper deals with the nonlinear distributed parameter process control. The aim is to realize a predictive type control that minimize an optimization criterion under some constraints. The well-known internal model control (IMC) structure is used to make the predictive control strategy where the internal model is a time-varying linearized model around a tracking trajectory. This nonlinear distributed parameter system control is developped and presented through a practical distributed control application : an infrared drying process control.

Keywords: MPC; drying process; non linear PDE model.; non linear PDE model

Domains: Automatic; Chemical and Process Engineering

Pascal Dufour, Youssoufi Touré, Pierre Laurent. A nonlinear distributed parameter process control: An internal linearized model control approach. IMACS-IEEE Computational Engineering in Systems Applications (CESA) Multiconference, Apr 1998, Hammamet, Tunisia. pp. 134-138. ⟨hal-00353142v2⟩