Automation and control of yeast fermentation
Overall Course Objectives
This course aims to provide participants with an understanding of the theory and skills needed to make decisions related to on-line sensor selection in view of establishing closed-loop control on a model fermentation process (yeast). Participants will be introduced to the theory of process control, and will learn how to use model simulations to study the effect of applying control to a bioreactor. On-line sensor concepts will be introduced, and the participants will learn how to work with on-line data, first in terms of detecting outliers and replacing missing values, and then for classification.
See course description in Danish
Learning Objectives
- – Implementation of a system of coupled differential equations on a yeast fermentation process
- – Simulation of a system of coupled differential equations on a yeast fermentation process
- – Gain knowledge about standard and advanced sensors
- – Apply control to a yeast fermentation process (in a simulation model)
- – Local sensitivity analysis
- – Missing value replacement and outlier detection in on-line data
- – Classification of datasets
- – Gain knowledge about standard and advanced sensors
Course Content
See Annex 1
Recommended prerequisites
N/A
Teaching Method
The course will be a mix of lectures, exercises in the lecture room and a homework assignment. Exercises are based on Python. Some examples in Matlab are also provided.
Faculty
Limited number of seats
Minimum: 8, Maximum: 30.
Please be aware that this course has a minimum requirement for the number of participants needed, in order for it to be held. If these requirements are not met, then the course will not be held. Furthermore, there is a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.