Abstract
This paper gives an overview of our studies on adaptive control performed in our laboratory for more than ten years enlightened by results of practical applications on different pilot plants. Applications have been made in two fields: continuous processes such as liquid-liquid extraction columns and batch processes, typically batch or semibatch reactors. Formerly a classical adaptive controller based on a “black-box” model: the Generalized Predictive Controller with Model Reference (GPCMR) has been used. Results were very good in the case of continuous processes but showed the limits of this type of algorithm when applied to batch processes with large changes of dynamics and long time delay. So, a special part is devoted to focus on the important advantages and improvements brought by the use of an Adaptive Model-based Controller in comparison with the classical GPCMR.
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© 1995 Springer Science+Business Media Dordrecht
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Le Lann, M.V., Cabassud, M., Casamatta, G. (1995). Adaptive Model Predictive Control. In: Berber, R. (eds) Methods of Model Based Process Control. NATO ASI Series, vol 293. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0135-6_17
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DOI: https://doi.org/10.1007/978-94-011-0135-6_17
Publisher Name: Springer, Dordrecht
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