State and Input Estimation of Nonlinear Chromatographic Processes

Horsholt, Alexander; Christiansen, Lasse Hjuler; Ritschel, Tobias; Meyer, Kristian; Huusom, Jakob Kjøbsted; Jørgensen, John Bagterp

doi:10.1109/ccta.2019.8920651

Cited by 2 publications

(1 citation statement)

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“…Advanced strategies often combine online measurements and parameter estimation based on online optimisation routines; for example, the use of Extended (EKF) and Ensemble (EnKF) Kalman Filters. This strategy has been employed for simultaneous estimation of uncertain states and inlet concentration of nonlinear chromatographic processes based on noisy measurements at the outlet, demonstrating that the EKF is significantly faster, although less accurate, compared to the EnKF [53]. Open-loop control has also been considered in order to identify fractionation endpoints that meet purity constraints, for instance, the simultaneous maximisation of recovery yield and production rate for a ternary mixture separation problem of human insulin analogues in a HPLC process.…”

Section: Monitoring and Controlmentioning

confidence: 99%

Recent advances in modelling and control of liquid chromatography

Besenhard

Tsatse

Mazzei

et al. 2021

Current Opinion in Chemical Engineering

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For more than a century, chromatography has been indispensable as a separation method for both analytics and purification. Among the variety of chromatographic techniques, liquid chromatography has a special status owing to its efficiency and versatility, and its status is further enhanced by the continuous improvements of analysers, materials, methods and understanding, all supported by computational approaches. High performance liquid chromatography (HPLC) has always held a special place in pharmaceutical processing, and computational HPLC has been explored since the very early stages of computing, although without having yet reached its full potential. Herein, we provide a comprehensive and critical review of recent developments in designing and operating liquid chromatographic systems, focussing on their modelling approaches and control strategies at large scale.

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Section: Monitoring and Controlmentioning

confidence: 99%