Modeling and Control of Biochemical Reactor

Shi Li; Xi Ju Zong; Yan Hu

doi:10.4028/www.scientific.net/AMR.791-793.818

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Modeling and Control of Biochemical Reactor

Modeling and Control of Biochemical Reactor

Abstract:

This paper is concerns with the study of modeling and control of biochemical reactor. Firstly, a mathematical model is established for a typical biochemical reactor, the mass balance equations are established individually for substrate concentration and biomass concentration. Then, the model is linearized at the steady-state point, two linear models are derived: state space model and transfer function model. The transfer function model is used in internal model control (IMC), where the filter parameter is selected and discussed. The state space model is applied in model predictive control (MPC), where controller parameters of control prediction horizon length and constraint of control variable variation are discussed.

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Periodical:

Advanced Materials Research (Volumes 791-793)

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818-821

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.818

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Online since:

September 2013

Authors:

Shi Li, Xi Ju Zong, Yan Hu

Keywords:

Biochemical Reactor, Internal Model Control, Model Predictive Control (MPC), Modeling

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