Modelling and identification techniques for optimal control of a non-linear biotechnical process

Model for a fermentation process is characterized by highly nonlinear equations with nonlinear coupling between the variables of motion. The recursive least squares (RLS) identification technique has been applied to identify the uncertain parameters of a biotechnical process, which influence the growth phase of biomass (e.g. the yeast organism). Also the simplified yet nonlinear models of fed-batch and batch fermentation processes are presented. Details of modelling and simulation studies carried out a baker´s yeast fermentation process are included. Variations of the basic models are considered and tested using computer simulation with a view to evaluating the effect of different influences on the specific biomass growth rates. The results for the parameters identification are also successfully obtained