Furnace Temperature Control based on Adaptive TS-FNN for Municipal Solid Waste Incineration Process

In the process of municipal solid waste incineration (MSWI), the stability of furnace temperature determines the running safety and pollution emission level. The furnace temperature is influenced by different uncertainty fluctuations and strong interference. This makes it difficult to effectively control using the PID algorithm. Aiming at the above problems, an adaptive TS fuzzy neural network (FNN) furnace control method based on the furnace temperature model is proposed. First, the furnace temperature model based on the linear regression decision tree (LRDT) algorithm is established. It is multiple inputs and a single output. Then, the control algorithm based on an adaptive TSFNN controller is designed. Finally, a simulation experiment is carried out. It is based on the actual data from an MSWI plant in Beijing. The results show that the proposed method performs well in the accuracy and adaptive ability of furnace temperature control.