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Multivariable linearizing control of an industrial sugar crystallization process

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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Submitted on : Saturday, September 19, 2015 - 4:46:20 PM
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Cédric Damour, Michel Benne, Lionel Boillereaux, Brigitte Grondin-Perez, Jean-Pierre Chabriat. Multivariable linearizing control of an industrial sugar crystallization process. Journal of Process Control, Elsevier, 2011, 21 (1), pp.46--54. ⟨10.1016/j.jprocont.2010.10.002⟩. ⟨hal-01202286⟩



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