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Please use this identifier to cite or link to this item: http://dspace.utalca.cl/handle/1950/4510

Title: Predictive controller evaluation including non-stationary high frequency noise and outliers for batch solid substrate fermentation bioreactors
Authors: Perez-Correa, J.R.
Fernandez-Fernandez, M.
Keywords: Non-linear dynamics; Internal model control; Model predictive control; Solid substrate cultivation
Issue Date: 2006
Publisher: Springer Berlin / Heidelberg
Citation: Bioprocess and Biosystems Engineering 29(5-6): 399-407
Abstract: Optimum operation and automatic control of large-scale solid substrate fermentation (SSF) bioreactors is difficult. Though advanced control algorithms can handle most challenges encountered properly, for real-time SSF processes such controllers are expensive and time consuming to design and tune. With these considerations, advanced control algorithm tests using realistic simulations appear more appropriate. We used a phenomenological process model of an SSF pilot bioreactor, coupled with a realistic noise model, to test linear model predictive controllers. We focused on the effect noise has on the performance of the control algorithms, and how to enhance performance using a combination of low-pass (Butterworth) and outlier shaving (Hampel) filters. In simulations undertaken directly with the phenomenological model it was relatively straightforward to achieve good control performance. Nevertheless, control degraded sharply when the output of the phenomenological model was contaminated with noise using our realistic noise model, even with proper signal filtering.
Description: Fernandez-Fernandez, M. Departamento de Ciencias de la Ingeniería,Universidad de Talca,Camino a Los Niches Km.1, Curicó, Chile.
URI: http://dspace.utalca.cl/handle/1950/4510
ISSN: 1615-7591
Appears in Collections:Artículos en publicaciones ISI - Universidad de Talca

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