Optimal control of a fed-batch yeast fermentation process based on Least Square Support Vector Machine
by Hongwei Zhang
International Journal of Engineering Systems Modelling and Simulation (IJESMS), Vol. 1, No. 1, 2008

Abstract: An optimal control algorithm is presented in this paper for application to a fed-batch yeast fermentation process. The algorithm utilises a non-linear model of the process that is developed using Least Square Support Vector Machine (LS-SVM). The model can be used as a software sensor to provide predictions of the unmeasured variables. Furthermore, this non-linear model is used within an optimal control law to regulate the productivity of the batch by manipulating the substrates that are fed into the fermentation vessel. The proposed control algorithm is successfully applied to an yeast fermentation process and its performance compared with the nominal control algorithm that has been applied to this application in the past. The proposed controller is found to compare favourably with the nominal algorithm.

Online publication date: Thu, 19-Jun-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Engineering Systems Modelling and Simulation (IJESMS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com