Multiple Input Mulitple Output Control Method Based on Single Neuron Adaptive PID for Municipal Solid Waste Incineration Process

The automatic combustion control (ACC) system of municipal solid waste incineration (MSWI) processes realizes the stable operation through the coupling control among multiple loops. However, due to the difference in municipal waste solid components and operating level, the introduced ACC system is difficult to be directly applied in China. The research on MSWI process controlling is still the key to solve its stable running. Aiming at the strong coupling and nonlinear characteristics of MSWI processes, this paper proposes a multiple input multiple output control method based on single neuron adaptive PID. Firstly, multi-input multi-output controlled object models in terms of furnace temperature (FT), boiler steam flow (BSF), and oxygen (OX) content are established, whose input and output are determined on the basis of MSWI process flow and ACC system’s mechanism. Then, based on the experience of experts in the field, the multi-loop controller of the MSWI process is established by using single neuron adaptive PID controller. Finally, the accuracy and effectiveness of the proposed framework are verified by actual industrial process data.