Design Of Cellulase Solid State Fermentation Control System Based On Improved Genetic Algorithm

In recent years,biotechnology has flourished and the enzyme catalyst industry has been greatly developed.The cellulase is widely used in various industries as one of the important enzymes,and it is in short supply.The traditional cellulase liquid fermentation technology is complicated,so it is urgent to improve the fermentation yield and quality.The solid-state fermentation technology has been greatly developed with the support of modern biotechnology,which has performed well in the cellulase fermentation designed in this dissertation.The process of the solid-state fermentation technology is simple and non-polluting.A set of fermentation equipment is designed according to the characteristics of cellulase solid-state fermentation to improve efficiency and quality at the same time.Aiming to solve the problem that the temperature in the solid-state fermentation process is difficult to control,ARM11 is used to build the embedded control system which has high-performance and low-power.Based on the traditional fuzzy PID,the genetic algorithm is used to avoid the partial optimization problem while solving the global optimization problem.The improved genetic algorithm is optimized for fuzzy PID control to achieve the good control effect.The simulation results prove that the overshoot is small and the robustness is strong.The control system is divided into upper and lower position machines.System management,main interface,system report,system alarm and trend curve module are added in the design of the upper computer to enhance the human-computer interaction ability.The operator can perform online modification of parameters and switch control modes according to real-time conditions.The lower position machine is designed to realize the communication function with the upper computer.According to the control system the sensor and each component are selected correctly at the same time.The sensor transmits the measured fermentation environment parameters to the lower computer.On the one hand,the environmental parameters are transmitted to the upper computer,the historical database and the curve trend graph are formed on the upper computer interface to facilitate the analysis by the operator;on the other hand,the fuzzy PID optimized by the improved genetic algorithm is used to process the data,then the relevant fermentation equipment is controlled according to the processed data to achieve precise control of the fermentation temperature.When the design of control system is completed,the experimental platform is built on the site for system testing.The results show that the upper computer can display the environmental parameters changes during the solid state fermentation of cellulose which can be modified online in real time.The lower machine can effectively control the related fermentation equipment.The improved fuzzy PID optimized by the genetic algorithm controls the temperature of the fermenter to a reasonable range.During control the overshoot is small and the system is stable which has strong robustness.