Microalgae Cultivation System Based On Grey Prediction And Fuzzy Control

The exploitation of microalgae resources is of great interest in many industries,and has been the focus of research and application in many fields.However,there are many factors that affect the growth of microalgae,and artificial cultivation techniques have limited the industrialization of microalgae.The scale and output of the microalgae industry are far from meeting the market demand.In order to improve the yield and efficiency of artificially cultured microalgae,domestic and international researchers have investigated the culture conditions of microalgae from various perspectives and designed photobioreactors with different functions to specifically solve the microalgae culture problem.The biological activity of microalgae is bound to be complex and variable,and requires timely nutrient supplementation to maintain continuous and efficient culture in an appropriate growth environment.The high dissolved oxygen content accumulated by microalgae consuming culture medium will inhibit growth,so human analysis to determine the addition of culture medium will inevitably have the problem of low accuracy and large workload.Designing an automated culture system using today’s advanced control technology and adding intelligent algorithms to improve the control effect provides a viable solution for the continuous and efficient cultivation of microalgae.This paper designs a microalgae culture system based on previous research on photobioreactors and intelligent algorithms,as follows.First,this paper analyzed and investigated microalgae cultivation techniques and equipment,and designed a cultivation system to provide suitable conditions for the growth of microalgae based on the cultivation research data of Haematococcus pluvialis.The control system was designed for the addition of medium and the control of dissolved oxygen.Based on the mechanism of photosynthesis,exchange of material and energy and production of oxygen during the growth of microalgae,the control model of medium and dissolved oxygen was established.Secondly,according to the control demand of dissolved oxygen in algal liquid,the grey prediction and fuzzy control algorithm are analyzed.According to the growth law of microalgae,the control strategy is set up,and the fuzzy PID controller is established.In view of its shortcomings,the improved controller combining the grey prediction method and the fuzzy control strategy is designed.Thirdly,using the Simulink simulation tool,the designed controller model is built,and the parameters are set for simulation operation,and the operation effect is compared and analyzed.It is verified that the fuzzy PID control with grey prediction has better control effect and higher stability,and meets the design requirements and objectives of microalgae culture system.Finally,in order to verify the effect of the controller simulation results in practical application,a complete system hardware is built,and the control algorithm is added to the system control.The comparative experiment is designed,and the data are measured and analyzed,which verifies the superior performance of the automatic training mode with the controller.