Study of adaptive control of fermentation process.

In this paper, a track self-tuning control system for fed-batch penicillin fermentation was constructed by using the adaptive control theory. This system, unlike normal control methods can adapt itself to the random change of controller parameters during penicillin fermentation. The order of the system control SISO model is two fold and it is a non-minimum phase system. Therefore, the extended least square self-tuning control strategy was employed. The imitation showed that the biomass growth was controlled by a reference trajectory using this system.