Study on the industrial chlortetracycline fermentor glucose feed rate adjustment method based on soft sensor

The glucose feed rate of Chlortetracycline (CTC) fermentation process is currently controlled manually in biochemical plant, which results in the instability of total sugar concentration and affects the fermentation efficiency of the fermentation process. Therefore, we present a new optimal adjustment method for the glucose feed rate based on the soft sensor of the total sugar concentration of fermentation broth. We establish an online soft sensor model for the total sugar concentration by means of selecting the measurable variables, blurring the data, constructing the recurrent fuzzy neural network and rolling training the network. On the base of the soft sensor for total sugar concentration, the changing process of the CO₂ content in the fermentor exhaust gas is divided into four control phases, with which the optimal adjustment of the glucose feed rate can be automatically accomplished. The field experiment results demonstrate that the method is beneficial to the cell growth and CTC synthesis, improves the fermentation efficiency and reduces the production cost.