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Can I read Repetitive Model Predictive Control Applied to a Simulated Moving Bed Chromatography System on EtoBox?
Repetitive Model Predictive Control Applied to a Simulated Moving Bed Chromatography System by Seshatre Natarajan; Jay H. Lee is a Engineering article available to read on EtoBox.
What is Repetitive Model Predictive Control Applied to a Simulated Moving Bed Chromatography System about?
In this paper, we investigate the application of the repetitive model predictive control (RMPC) technique on a simulated moving bed (SMB) process that performs continuous chromatographic separation of a phenylalanine-tryptophan mixture. RMPC is a model-based control technique developed by incorporating the basic concept from repetitive control into the model predictive control technique; it is specifically suited for continuous processes with periodic operation patterns or behavior. Balanced model reduction is used to reduce a finite difference approximation of a PDE model drawn from a material balance of the SMB system. The reduced order state space model is used for the control calculation. Start-up control of the SMB process is simulated and the results are presented.
Who reads Repetitive Model Predictive Control Applied to a Simulated Moving Bed Chromatography System?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Seshatre Natarajan; Jay H. Lee
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0098-1354)
- Published
- 2000
- Language
- EN
- Field
- Engineering (Physical Sciences)