Youssoufi Toure

---

• Type de publi. : Article dans une revue
• Date de publi. : 01/09/2003
• Auteurs : Pascal DufourFrançoise CouenneYoussoufi Touré
• Organismes : Laboratoire d'automatique et de génie des procédés Laboratoire d'automatique et de génie des procédés Laboratoire Vision et Robotique
• Publié dans IEEE Transactions on Control Systems Technology le 30/10/2020

---

Résumé : This paper deals with the control of a catalytic reverse flow reactor. The aim of this process is to reduce, by catalytic reaction, the amount of volatile organic compounds (VOCs) released in the atmosphere. The peculiarity of this process is that the gas flow inside the reactor is periodically reversed in order to trap the heat released during the reaction inside the process. This allows use of the reactor in heat saving mode. The goal of this work is to provide a model predictive control (MPC) framework to significantly enhance the poor overall performance currently obtained through the actual control strategy. It is directly addressed for the nonlinear parabolic partial differential equations (PDEs) that describe the catalytic reverse flow reactor. In the context of the application of MPC to this particular distributed parameter system, we propose a method that aims to reduce the on-line computation time needed by the control algorithm. The nonlinear model is linearized around a given operating trajectory to obtain the model to be solved on-line in the approach. MPC strategy combined with internal model control (IMC) structure allows to use less accurate and less time consuming control algorithm. The efficiency of the method is shown in simulation for this SISO system.

---

Fichiers liés : duf03-IEEE-TCST-11-5-705-714.pdf

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 01/09/2003
• Auteurs : Valérie dos Santos MartinsYoussoufi Touré
• Organismes : Laboratoire d'automatique et de génie des procédés Laboratoire Vision et Robotique
• Publié dans IFAC Proceedings Volumes le 13/01/2016

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 01/01/2003
• Auteurs : Pascal DufourYoussoufi TouréDenise BlancPierre Laurent
• Organismes : Laboratoire d'automatique et de génie des procédés Laboratoire Vision et Robotique Laboratoire d'Analyse Environnementale des Procédés et Systèmes Industriels Laboratoire d'automatique et de génie des procédés
• Publié dans Computers & Chemical Engineering le 30/10/2020

---

Résumé : It is now recognized that model predictive control (MPC) is an interesting alternative for real-time control of industrial processes. In the meantime, some problems do still remain in progress: for theoretical aspects, the a priori guarantee of the stability and for the practical aspects, the guarantee of sufficient time to solve to optimization problem at each sampled time positions. In this paper, we propose a global method that aims to reduce the on-line calculation time due to the PDE model based optimization task resolution. It is addressed for a particular class of systems not very often studied in this context: systems described by partial differential equations (PDEs) which are, in the present case, nonlinear and parabolic. In order to decrease the computational burden, the nonlinear PDE system is solved off-line. Then, a linearized PDE model around the previous off-line behavior is used to find the optimal variations for the on-line predictive control. The real-time control application given is concerned with a infrared drying process of painting film.

---

Fichiers liés : duf03-CCE-27-11-1533-1542.pdf

---

Source

---

• Type de publi. : Communication dans un congrès
• Date de publi. : 01/08/2002
• Auteurs : Pascal DufourDenise BlancYoussoufi TouréPierre Laurent
• Organismes : Laboratoire d'automatique et de génie des procédés Laboratoire d'Analyse Environnementale des Procédés et Systèmes Industriels Laboratoire Vision et Robotique Laboratoire d'automatique et de génie des procédés

---

Résumé : This paper deals with the experimental control of an infrared drying process of a water based epoxy-amine painting. This approach is based on a unidirectional diffusional modeling of infrared drying phenomena where both heat and mass transfers under shrinkage conditions are accounted for. The control problem is concerned with the tracking of any given trajectory for one of the characteristics (i.e the temperature or the mean water content) during the drying cycle. This is solved using the well known model predictive control framework where the nonlinear diffusional model is directly used in the control formulation. Experimental results show the efficiency of the trajectory tracking. This method can be extended for more general constrained control problem.

---

Fichiers liés : duf02-IDS-Beijing-B-1147-1154-paper.pdf

---

Source

---

• Type de publi. : Communication dans un congrès
• Date de publi. : 01/09/2001
• Auteurs : Pascal DufourEstelle CourtialYoussoufi TouréPierre Laurent
• Organismes : Laboratoire d'automatique et de génie des procédés Centre de Robotique, d'Electrotechnique et d'Automatique Laboratoire Vision et Robotique Laboratoire d'automatique et de génie des procédés

---

Résumé : A trajectory tracking strategy is presented for processes described by a parabolic nonlinear distributed parameter model. A model-based predictive control approach, combined with an internal model control structure and a state estimation method is extended to this kind of process. On-line requirements such as computational time and constraint satisfaction are outlined and discussed. This method is then implemented for the control of a drying process and experimental results are discussed.

---

Fichiers liés : duf01-ECC-Porto-paper4993-paper.pdf

---

Source

---

• Type de publi. : Communication dans un congrès
• Date de publi. : 01/06/2000
• Auteurs : Mohamed-Chaker LarabiPascal DufourPierre LaurentYoussoufi Touré
• Organismes : Laboratoire d'automatique et de génie des procédés Laboratoire d'automatique et de génie des procédés Laboratoire d'automatique et de génie des procédés Laboratoire Vision et Robotique

---

Résumé : This paper deals with the model predictive control of processes. The new step is the use of a distributed parameter system instead of a lumped parameter system. The internal model control structure is also used to solve the trajectory tracking problem. The internal model is obtained from the linearization of the initial set of nonlinear partial differential equations about the desired trajectory. Finally, the control problem stated as a constrained optimization problem is solved by a control algorithm. Experimental results presented here show the efficiency of this control strategy.

---

Fichiers liés : lar00-MTNS-Perpignan-paperB167-paper.pdf

---

Source

---

• Type de publi. : Communication dans un congrès
• Date de publi. : 01/09/1999
• Auteurs : Pascal DufourYoussoufi TouréDennis J MichaudPrasad S. Dhurjati
• Organismes : Laboratoire d'automatique et de génie des procédés Laboratoire Vision et Robotique Department of Chemical Engineering, University of Delaware Department of Chemical Engineering, University of Delaware

---

Résumé : 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.

---

Fichiers liés : duf99-IFAC-IEEE-ECC-Karlsruhe-paper1033-6-paper.pdf

---

Source

---

• Type de publi. : Communication dans un congrès
• Date de publi. : 01/04/1998
• Auteurs : Pascal DufourYoussoufi TouréPierre Laurent
• Organismes : Laboratoire d'automatique et de génie des procédés Laboratoire d'automatique et de génie des procédés Laboratoire d'automatique et de génie des procédés

---

Résumé : 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.

---

Fichiers liés : duf98-IMACS-IEEE-CESA-Hammamet-134-138-paper.pdf

---

Source

---

• Type de publi. : Article dans une revue
• Date de publi. : 01/01/1996
• Auteurs : Pascal DufourLaurence JosserandYoussoufi Touré
• Organismes : Laboratoire d'automatique et de génie des procédés Laboratoire d'automatique et de génie des procédés Laboratoire d'automatique et de génie des procédés
• Publié dans Journal Européen des Systèmes Automatisés le 29/10/2020

---

Résumé : This paper deals with the boundary control of distributed parameter systems. We give, for non-academical example, an explicit form of stability and feasability conditions to an output feedback boundary control, and we generalize the internal model control (IMC) structure to infinite dimensional system. The framework is directly presented via a MIMO heat exchanger pilot process example. Some simulations results of asymptotic traking with a variable set point are given.

---

Source