Research on GA-FUZZY Based Combustion Temperature Model of DGM Incinerators
Tingting Wang, Hairui Wang, Ya Li · 2010
This paper uses a dynamic method to analyze the direct gasification and melting incineration process. By using fuzzy methods, it solves a temperature control model that consists of 4 inputs and 2 outputs. GA (Genetic Algorithm) is used to construct the learning algorithm, which is able to find the optimum rule base. The simulation and field application results show that the GA-based fuzzy model can adapt to the complex incineration process. It is an appropriate way to solve the incineration temperature control problem.