Temperature Control System for Biological Liquefaction of Dead Livestock and Poultry Based on Fuzzy Neural Network PID

At present, the efficient bio-liquefaction technology of dead livestock and poultry has become an important technical means for the harmless treatment of dead livestock and poultry because of its advantages of high value-added liquid amino acid fertilizer. How to achieve the precise control of temperature in the process of efficient bio-liquefaction of dead livestock and poultry is a difficult problem that needs to be solved urgently. In this study, a temperature control system for the bio-liquefaction of dead livestock and poultry based on fuzzy neural network PID was proposed. The fuzzy neural network algorithm blurs inputs, models rules, and fuzzy reasoning through fuzzy set theory to simulate human fuzzy reasoning ability to achieve the modeling and control of complex systems. Analysis showed that the temperature control was effective. The temperature change amplitude was ± 2. The experimental results showed that the system had the characteristics of simple structure, small static error, and fast dynamic response speed. An effective technical means for the precise control of temperature in the process of efficient bio-liquefaction of dead livestock and poultry is provided in this study, which has a wide range of application prospects.