Parallel Control of Flue Gas Oxygen Content in MSWI Process Based on Fuzzy Neural PID

Municipal solid waste incineration (MSWI) technology has been widely used in terms of harmlessness, reduction and resource utilization. Flue gas oxygen content can effectively characterize the incineration efficiency and pollutant emissions. It is necessary to accurately control the flue gas oxygen content in the MSWI process. The control mode based on expert experience has certain subjectivity and randomness. It is difficult to meet the requirements of system dynamic characteristics. At the same time, the MSWI process has strong nonlinear, time-varying dynamics and typical fuzzy characteristics. In view of the above problems, this article proposes a fuzzy neural PID parallel control method. Firstly, a fuzzy neural PID parallel controller is constructed. Then, the stability analysis of the controller is carried out. Finally, experiments are carried out based on the actual MSWI process factory data with stable control performance and stronger adaptability.