Abstract
In spite of obvious industrial needs in crystallization little has been done till now to improve and optimize the control of the equipments. The field of crystallization process technology is very complex and the knowledge based industrial applications still remain remarkable. Moreover, it is generally difficult to propose some simplified approaches leading to effective improvements. We present here a simple application of the non linear “L/A” controller to a batch crystallizer and encouraging simulation results are shown. Firstly, we settle the difficulties arising from the technological choice of the evaporative crystrallisers: non linearities and specific industrial requirements in closed loop. After a brief recall of the principles involved by the L/A controller, a comparative study is proposed between the use of PID controllers and the L/A algorithm when some realistic industrial goals are settled. A trial based on an adaptive approach: the generalized predictive control (GPC) is also reported in this paper but it is till now impossible to conclude since some specific estimation problems have not yet been solved. The L/A algorithm which is very easy to implement has been found to be easier to tune and it leads to a more satisfactory behavior in closed loop than the PID.
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Hulburt, H.M. (1983). Perspectives on crystallization in chemical process technology Aiche. Symp. Series, Vol. 79, 235, pp 77–89.
Kotzev, A.; Resnick, W. and Lavie, R. (1986). Evaluation of discrete approximations to continuous size distributions for control of crystallization processes. Chem. Eng. Science. Vol. 41, 12, pp. 3045–3051.
Rohani, S. (1986). Dynamic Study of crystal size distribution (CSD) in a KCl crystallizer. Canadian J. of Chem. Eng. Vol. 64, pp. 112–116.
Bennett, R.C. (1988). Matching Crystallizer to material. Chemical Engineering. Vol. 95, 8, pp. 118–127.
Klein, J.P. (1989). Procédés industriels de par évaporation. Journées SFT: Changements de phases dans les milieux dispersés. Paris.
Dugard, L. and Landau, I.D. (1988). Commande Adaptative. Méthodologie et applications, Ed. Hermès, Paris.
Landau, I.D. (1988). Identification et Commande des systèmes. Ed. Hermès. Paris.
M’saad, M.; (1987). L’applicabilité de la commande adaptative. Thèse d’état. INPG Grenoble.
Lakrori, M. (1989). Control of a continuous bioprocess by simple algorithms of “P” and “L/A” type. IFAC Symp.: Non-linear control systems. Capri-Italy.
Lakrori, M.; Rey, D. (1989). On the use of “L/A” algorithms to control some chemical processes. IFAC Symposium on Dynamics and Control of chemical reactors, distillation columns and batch processes. Dycord’ 89. The Netherlands.
Lakrori, M. (1989). Réglage d’un L/A-2 numérique en considérant la saturation de l’actionneur. Note interne LAG. Grenoble.
Fevotte, G.; Lakrori, M. (1990). Application of the non-linear L/A algorithm to the adaptative control of a steam flow. CHISA’90. PRAGUE. Août 1990.
Gibon, A.M.; Fevotte G. (1989). Etude de l’effet linéarisant de la commande L/A sur certaines classes de processus. Note interne I.C.P.I. Lyon.
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© 1990 Springer-Verlag
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Fevotte, G., Canpont, D., Lakrori, M. (1990). Non linear control of a batch evaporative crystallization using an algorithm of “L/A” type. In: Bensoussan, A., Lions, J.L. (eds) Analysis and Optimization of Systes. Lecture Notes in Control and Information Sciences, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0120026
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DOI: https://doi.org/10.1007/BFb0120026
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