| With the vigorous development of biological fermentation technology,a variety of microorganisms and fungus cell fermentation products have greatly improved people’s lives in terms of medical treatment and food hygiene.At present,there are problems in cell protein fermentation such as low degree of automation,slightly longer product preparation cycle,and insufficient accuracy of environmental parameter fluctuation control,resulting in low product quality.In this case,a real-time closed-loop control system for cell protein fermentation system is designed,and some related control algorithms are combined to achieve the purpose of improving the control accuracy,which improves the efficiency and accuracy of the fermentation control system.Temperature,dissolved oxygen,PH value,stirring motor speed are the main control parameters of the fermentation system.The traditional fermenter temperature and dissolved oxygen control directly apply PID control,due to the influence of various factors in the fermentation process,resulting in low control accuracy,so on the basis of PID control,neural network control technology and fuzzy control technology are added.Considering the temperature change characteristics,the neural network PID control technology is used to establish a mathematical model,and the simulation is compared,which confirms that it is superior to the PID control scheme and can increase the accuracy of control.Considering the correlation between dissolved oxygen control and sterile air flow,mixer speed and tank pressure,the method of combining fuzzy control and PID is selected to control the speed of the stirring motor,remove static errors,and improve the control accuracy.In response to the problem of foam generated by agitation of the stirring motor in the fermenter,defoaming control is carried out,and when the foam height exceeds the warning value,the defoamer is automatically added to defoam.The Siemens configuration software WinCC is used to build a host computer monitoring system,and the entire fermentation production process is displayed in real time in the host computer.It has been proven that the accuracy can be stabilized to 0.2°C for the most difficult to control temperatures.Other parameters can also be maintained at set values,which increases the level of automation and control accuracy of cell protein fermentation. |