Fuzzy Neural Network Control of the Garbage Incinerator

Abstract

In order to solve the problem of garbage treatment effectively, a control method is proposed based on Takagi-Sugeno (T-S) fuzzy neural network model after analyzing the characteristics of garbage incinerators system and the main factors affecting combustion. A T-S fuzzy neural network model for garbage incinerators control is established which utilizes BP learning algorithm for data training. Then a simulation research is carried out to verify the feasibility and superiority. Results show that the T-S fuzzy neural network control can well track the input in a relative short time. The contrast analysis with conventional PID control and fuzzy control is done to show a better performance under the fuzzy neural network control. The fuzzy neural network control method can adapt to the complex garbage incineration process, which makes it high application value.