Design of fuzzy logic controller for combustion control of stoker-fired boilers based on behavior modeling

Author

Li, W. ; Chang, X.G. ; Wang, Y.Q. ; Ma, C.Y.

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China

Volume

1

fYear

1997

fDate

1-5 Jul 1997

Firstpage

453

Abstract

This paper uses a behavior modeling approach to design a fuzzy logic controller for combustion control of stoker-fired boilers. Its idea is, according to recorded historical data, to model a boiler combustion system by defining types of dynamic behavior. On the basis of behavior classification, design of a neuro-fuzzy control system is performed in two steps. First we model a boiler combustion process with unknown structure by choosing a set of simplified systems with equivalent behavior as “templates” to optimize their fuzzy controllers off-line. Second, we identify a dynamic behavior and fire its correspond fuzzy logic controller by matching the “templates” online. This control system is applied into several industrial stoker-fired boilers in different places

Keywords

boilers; combustion; control system synthesis; fuzzy control; fuzzy neural nets; neurocontrollers; optimal control; combustion control; fuzzy controller off-line optimization; fuzzy logic controller design; neuro-fuzzy control system; stoker-fired boilers; template matching; Boilers; Combustion; Control systems; Electrical equipment industry; Fires; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Industrial control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

0-7803-3796-4

Type

conf

DOI

10.1109/FUZZY.1997.616410

Filename

616410