Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5147

TitleModel-based identification and control on baker's yeast fed-batch fermentation
Author(s)Ferreira, E. C.
Soares, Filomena
Pimenta, Pedro C. C.
Azevedo, S. Feyo de
Issue date1993
CitationEUROPEAN CONGRESS ON BIOTECHNOLOGY, 6. Florença, 1993 - "European Congress on Biotechnology - TU022". [S.l. : s.n., 1994]. vol. II.
Abstract(s)A theoretical and experimental study is reported concerning the control of baker's yeast fed-batch fermentation. The overall approach follows the methodology proposed by Bastin & Dochain (1990) which exploits the structure of a general nonlinear deterministic model for bioreactors. Software-sensors have been developed and employed for the on-line estimation of 'non-measured' state variables (Feyo de Azevedo et al., 1992). An adaptive linearizing control cheme, based as well on the general model structure, utilises the observed state to compute the control action. The strategy was tested theoretically through a 'real-time process simulator' (Pimenta & Feyo de Azevedo, 1993) acting as the baker's yeast fermentation, linked to a 'control computer' via serial RS232C communications. Experimental work was carried out in parallel in a 5 litre laboratory rig (B. Braun Biostat MD5) locally controlled by a 'digital control unit' and supervised by a control computer. The main results to be reported address the overall performance of the control scheme, particularly in what concerns its sensitivity to model uncertainty, the noises in measurements and to slow and fast changing process parameters. As well it is relevant to emphasise that the 'process simulator' employed has proved to be an important tool for studies on process control and for experiment planning.
TypeAbstract
URIhttp://hdl.handle.net/1822/5147
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Resumos em Livros de Atas / Abstracts in Proceedings

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