Genetic Algorithm and Fuzzy Based Combustion Temperature Control Model of MSW Incinerators

In this paper, we develop a fuzzy controller for improving the waste combustion control effect according to fuzzy theory. On the strength of the above mentioned, we adopt the Genetic Algorithm (GA) to generate fuzzy rules in waste combustion process. We expect to improve the control effect while control system parameter is unstable and to develop a GA based fuzzy controller to optimize the control. By using fuzzy methods, it solves a temperature control model that consists of four inputs and two 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.