Abstract
Biotechnological processes are notoriously difficult to control using conventional methods owing to their time-variant and non-linear characteristics. An alternative control method is to utilise artificial intelligence such as fuzzy logic. A problem with the development of fuzzy logic controllers is rule-base generation. A Self-Learning Fuzzy Logic Control (SLFLC) methodology offers a possible alternative solution. A study is presented illustrating the performance of a SLFLC by demonstrating its ability to generate a rule-set based on a predetermined criteria. The SLFLC described has been successfully applied to simulations of a Bakers Yeast fed-batch fermentation. Results demonstrate how the learning mechanism produces a rule-set which controls the dissolved oxygen concentration throughout the fermentation process duration.
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