Abstract
This paper outlines two methods of advanced control which can be utilised for tuning conventional controllers. A novel AI method based upon the use of artificial neural networks is contrasted with an advanced control method utilising the PIP philosophy. Both techniques are shown to be particularly effective advanced control approaches and with appropriate structuring can be used for tuning conventional P + I controllers. This is particularly advantageous from an industrial perspective. In order to demonstrate the potential of the methodologies, a simulation of a continuous, glucose limited Saccharomyces cerevisiae fermentation is employed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
