Research and Application of Fuzzy Control in Boiler Combustion System Based on ACA

Article Preview

Abstract:

In the complex control processes of the industrial boiler combustion system with non-linear, time-varying and multivariable, aim at the original control parameters fixed, slow response, delay regulation and other problems, this paper introduces a control method that combines ant colony algorithm with fuzzy PID control, improves the design of fuzzy control rules table and optimizes the PID control parameters. Simulation results show that this control scheme is superior to conventional PID control and fuzzy PID control.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

642-646

Citation:

Online since:

February 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhan Hua, Yao Lihong.The points of our country's energy to current and future development.Energy engineering,2003(3), pp.1-4.

Google Scholar

[2] Zhang Zhibing.Boiler research.The national science and technology noun authorized committee,1995, 18(5), pp.4-7.

Google Scholar

[3] G.R. Mettam, L.B. Adams, How to prepare an electronic version of your article, in: B.S. Jones, R.Z. Smith (Eds. ), Introduction to the Electronic Age, E-Publishing Inc., New York, pp.281-304. (1999).

Google Scholar

[4] Ma Ping,Wang Lin,Wang Chunhua.The intelligent control of Combustion control system.Journal of Electric Power System and Its Automation,2002,6(3).

Google Scholar

[5] R.C. Booth,Neural Network-based Combustion Optimization Reduces Nox Emissions while Improving Performance.Proceeding of the American Power Conference Illinois Inst ofTechnology,1998:667-672.

Google Scholar

[6] Dorigo M,Maniezzo V,Colrni A.Ant systerm:optimization by a colony cooperating agents.IEEE Transation on Systerms, Man, and Cybernetics-Part B, 1996, 26(1). 29-41.

DOI: 10.1109/3477.484436

Google Scholar