Integrated condition monitoring and control of fed-batch fermentation processes

ZHANG, Hongwei and LENNOX, Barry (2004). Integrated condition monitoring and control of fed-batch fermentation processes. Journal of Process Control, 14 (1), 41-50.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/S0959-1524(03)00044-1
Link to published version:: https://doi.org/10.1016/S0959-1524(03)00044-1

Abstract

This paper investigates the benefits that the partial least squares (PLS) modelling approach offers engineers involved in the operation of fed-batch fermentation processes. It is shown that models developed using PLS can be used to provide accurate inference of quality variables that are difficult to measure on-line, such as biomass concentration. It is further shown that this model can be used to provide fault detection and isolation capabilities and that it can be integrated within a standard model predictive control framework to regulate the growth of biomass within the fermenter. This model predictive controller is shown to provide its own monitoring capabilities that can be used to identify faults within the process and also within the controller itself. Finally it is demonstrated that the performance of the controller can be maintained in the presence of fault conditions within the process.

Item Type: Article
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number: https://doi.org/10.1016/S0959-1524(03)00044-1
Page Range: 41-50
Depositing User: Margaret Boot
Date Deposited: 01 Aug 2017 13:58
Last Modified: 18 Mar 2021 17:16
URI: https://shura.shu.ac.uk/id/eprint/15142

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics