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Application of estimation techniques to biotechnical processes

Tan, Liang (1991) Application of estimation techniques to biotechnical processes. Master of Engineering thesis, Dublin City University.

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Abstract

It is acknowledged that to significantly improve biochemical system performance control should be implemented in real-time. Control algorithms, particularly modem control algorithms, require knowledge of the process dynamics and continuous measurement or detection of the system states and outputs. In many processes state variables cannot be measured on-line due, for example, to the non-availability of on-line sensors. Estimation techniques can be applied to estimate nonmeasurable state variables. Such techniques in general require the use of accurate system models. In this thesis simplified yet nonlinear models of fed-batch and batch fermentation processes are presented. Details of modelling and simulation studies carried out on a Baker’s Yeast fermentation process are included. Variations of the basic models are considered and tested using computer simulation with a view to evaluating the effect of different influences on the specific biomass growth rates. Results presented using experimental data and computer simulation results indicate the validity of a number of estimation procedures including an observer, extended Kalman filter and an iterative extended Kalman filter. Adaptive recursive least squares is applied to identify the uncertain parameters which influence the growth phases of biomass (e.g. the yeast organism).

Item Type:Thesis (Master of Engineering)
Date of Award:1991
Refereed:No
Supervisor(s):Dowling, Jim
Uncontrolled Keywords:Biotechnology Methodology; Control systems
Subjects:Biological Sciences > Biochemistry
Engineering > Electronic engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:19436
Deposited On:02 Oct 2013 16:12 by Celine Campbell. Last Modified 02 Oct 2013 16:12

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