Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang H (2009) MultiAgent based on-line monitoring system for MSW incinerator. ScalCom-EmbeddedCom, pp 375–380
Zadeh LA (1965) Fuzzy sets. Inf Control 8:339–353
Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Sys 1:3–28
Wang HR, Li Y, Jin L, Liu Yp (2010) Multi-agents based fault diagnosis systems in MSW incineration process. ICMTMA, pp 721–724
Hanabusa G, Iwakawa Y (1989) Refuse incineration process models of shaking grate refuse incinerator [J]. Autom Meas Control Soc 25(1):62–68
Onishi K (1991) Fuzzy control of municipal refuse incineration plant [J]. Autom Meas Control Soc 27(3):326–332
Chen WC, Chang NB, Chen JC (2002) GA-based fuzzy neural controller design for municipal incinerators[J]. Fuzzy Sets Sys 129(3):343–369
Wang TT, Wang HR, Li Y (2010) Research on GA-fuzzy based combustion temperature model of DGM incinerators. ICEEE, pp 3721–3725
Wang HR, Li Y, Jiang Y (2010) Web service and multi-agent based fault diagnosis system for MSW incinerators. Adv Mater Res 179–180:580–585
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media, LLC
About this paper
Cite this paper
Wang, H., Xie, W., Li, Y. (2012). Genetic Algorithm and Fuzzy Based Combustion Temperature Control Model of MSW Incinerators. In: Hou, Z. (eds) Measuring Technology and Mechatronics Automation in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 135. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2185-6_30
Download citation
DOI: https://doi.org/10.1007/978-1-4614-2185-6_30
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-2184-9
Online ISBN: 978-1-4614-2185-6
eBook Packages: EngineeringEngineering (R0)