Evaluation of Three Tuning Techniques of PID Control for a Bioreactor Process Plant

Abstract

This paper evaluates the performance of the developed bioreactor model with the following tuning techniques: Artificial Neural Network method, Fuzzy Logic method and Ziegler Nichols method. A model of the bioreactor was developed and an input of the stirrer speed and oxygen consumption was used as the input to control the temperature of the bioreactor. The stability of the bioreactor’s temperature was compared and recommendations were made. The Ziegler Nichols and fuzzy logic models were the most stable with a fuzzy logic technique having the least settling time. This paper has effectively shown how important tuning techniques are when using a PID controller to stable a chaotic system (in this case, bioreactor process plant). It has also shown that for the set conditions used in this paper, the fuzzy logic and the Ziegler Nichols tuning technique are the most stable and suitable.