Integration of Modelling Environments to an ÄKTA System

Sammanfattning: Automated information flow is an important way of optimizing the time used for analyzing processes. Other added benefits are that in a well-made automated system, the probability of human error diminishes because less liability is put on the person to manually transport and utilize the data. This notion of automation can be applied to the field of chromatography. This thesis investigates the possibility of integrating modelling softwares (Matlab and JModel- ica.org) into the control software of a chromatography system for an automated information flow. This integration can be utilized for automated calibration and optimization of the process which will save a lot of time and work with data handling. The software integration has proved successful and data can be passed from the control software to the modelling softwares automatically. The main control center is Python which controls the events and extracts data from the chromatography system as well as calling the modelling soft- ware with defined input parameters. Matlab has been utilized to make an Experiment – Cali- bration – Optimization (ECO) scheme and JModelica.org has been used to simulate the chro- matography process. The ECO scheme has not been fully automated, which is the next step to take where multiple experiments are conducted and the best result is chosen to proceed in the ECO scheme making it possible to automate.