Title :
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
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;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661486
