Research on GA-FUZZY Based Combustion Temperature Model of DGM Incinerators

Author

Wang, Tingting ; Wang, Hairui ; Li, Ya

Author_Institution

Dept. of Comput. Sci., Kunming Univ. of Sci. & Technol., Kunming, China

fYear

2010

fDate

7-9 Nov. 2010

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

fuzzy control; genetic algorithms; incineration; learning (artificial intelligence); melting; process control; temperature control; waste disposal; DGM incinerator; GA fuzzy based combustion temperature model; complex incineration process; direct gasification; dynamic method; field application result; fuzzy method; genetic algorithm; incineration temperature control; learning algorithm; melting incineration process; optimum rule base; Combustion; Fuzzy control; Gallium; Incineration; Process control; Temperature control; Waste heat;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on

Conference_Location

Henan

Print_ISBN

978-1-4244-7159-1

Type

conf

DOI

10.1109/ICEEE.2010.5661486

Filename

5661486