Self-Tuning Model Algorithm Control and Its Application to Penicillin Fermentation Process

To deal with the fermentation process problem, the technique of parameter estimation is introduced to be combined with the model algorithm control (MAC), resulting in self-tuning MAC. It is then used for the control of penicillin fermentation, which is time-variant and non-linear usually. On the basis of impulse response model of CO_2 evolution rate(CER), the process is predicted and the optimal sugar feed rate is determined. Consequently, an optimal control is achieved with a good tracking of ideal CER change, thus leading to an optimal penicillin production. Simulation studies show that the control strategy developed is effective and feasible.