Control-relevant Multiple Linear Modeling of Simulated Moving Bed Chromatography. Issue 8 (2015)

• Record Type: Journal Article
• Authors: Sharma, Girish; Vignesh, S.V.; Hariprasad, K.; Bhartiya, Sharad
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 8(2015)
• Page Start: 477
• Page End: 482
• Publication Date: 2015
• Subjects: Simulated moving bed chromatography -- separation process -- cyclic steady state -- glucose-fructose system -- multiple linear modeling -- Bayesian approach; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.09.013
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this work, we propose a control-relevant multiple linear modeling approach for simulated moving bed chromatography (SMBC) by linearizing the first principles model at carefully chosen equilibrium points. Subsequently, sub-models to account for port switching for each of the linear model are obtained. Model aggregation is done using Bayesian weighting to generate multiple model predictions for the nonlinear dynamics of SMBC. The multiple model approach is validated using simulations for cyclic steady state (CSS) of SMB as well as for a transition between two optimal CSS points for separation of a glucose- fructose mixture.