Multivariable linearizing control of an industrial sugar crystallization process |
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Authors: | Cé dric DamourMichel Benne,Lionel BoillereauxBrigitte Grondin-Perez,Jean-Pierre Chabriat |
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Affiliation: | a Lab. of Energetic, Electronics and Processes, University of La Reunion, 15 Av. René Cassin, BP 7151, 97715 Saint-Denis de la Réunion, France b GEPEA, UMR CNRS 6144, ENITIAA, rue de la Géraudière, BP 82225, F-44322 Nantes cedex 3, France |
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Abstract: | This paper illustrates the benefits of a multivariable linearizing control approach applied to an industrial crystallization process. This relevant approach proposes a setpoint tracking for the crystal mass/concentration couple. In this purpose, a model dedicated to last stage crystallization is designed, without consideration of crystal size distribution. The controlled variables, unavailable, are obtained using an extended Luenberger observer. The observer is validated on industrial data and shows good performance in both convergence rate and accuracy. The performance of the proposed linearizing strategy, which application to cane sugar crystallization constitutes a real novelty, is tested via simulation. The good performance in setpoint tracking, even in presence of noise, disturbances and modeling error, allows to consider a significant improvement of the global productivity. |
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Keywords: | Linearizing control Industrial control Extended Luenberger observer Phase changing Crystallization |
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