Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/4786

TitleAdaptive linearizing control of bioreactors
Author(s)Ferreira, E. C.
Azevedo, S. Feyo de
Issue date2-Sep-1996
PublisherInstitution of Electrical Engineers (IEE)
JournalIEE Conference Publication
CitationUKACC INTERNATIONAL CONFERENCE ON CONTROL’96, Exeter, 1996 - "UKACC International Conference on CONTROL’96". London : Institution of Electrical Engineers, 1996. ISBN 0-85296-667. vol. 2. p. 1184-1189.
Abstract(s)In this communication we shall present developments concerning the synthesis of Single-Input, Single-Output (SISO) and Multi-Input, Multi-Output (MIMO) adaptive linearizing algorithms for the operation of bioreactors. Results will be illustrated for the baker’s yeast fermentation process. The synthesis of these non-linear control laws is performed by employing differential geometry techniques with system linearization by state feedback. The controller design includes a step of order reduction of the process state model. The adaptive feature comes from the on-line estimation of the required process time varying parameters. The adaptive algorithm proposed enforces a desired and pre-set second order convergence dynamics as originally introduced by Oliveira et al. (1). Formulating the estimator on this basis leaves the user with the choice of two simple and intuitive tuning parameters with physical meaning - a damping coefficient and a natural period of oscillation.
TypeConference paper
URIhttp://hdl.handle.net/1822/4786
ISBN0-85296-667
ISSN0537-9989
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Artigos em Livros de Atas / Papers in Proceedings

Files in This Item:
File Description SizeFormat 
4.6.04.Exeter[1].pdf77,1 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID