the flue temperature of coke oven;
co-evolution;
genetic algorithm;
fuzzy control;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Fuzzy control method is often used in the flue temperature control, but it is difficult to get perfect membership function and rule base. To this problem, this paper present a fuzzy control method based on the co-evolution. Through the analysis of the control parameters, two species including the membership parameter specie and fuzzy rule specie are determined in the co-evolution algorithm. Both performance and interpretability of the controller are considered in the fitness function and cooperative strategy of the two species is used to get the membership function and fuzzy rules and design the flue temperature optimization controller. The application shows that the method is effective.
[2]
Delgado MR, 2001, JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, P1247, DOI 10.1109/NAFIPS.2001.943726
机构:
USN, Res Lab, Navy Ctr Appl Res Artificial Intelligence, Washington, DC 20375 USAUSN, Res Lab, Navy Ctr Appl Res Artificial Intelligence, Washington, DC 20375 USA
Potter, Mitchell A.
De Jong, Kenneth A.
论文数: 0引用数: 0
h-index: 0
机构:
George Mason Univ, Dept Comp Sci, Fairfax, VA 22030 USAUSN, Res Lab, Navy Ctr Appl Res Artificial Intelligence, Washington, DC 20375 USA
[2]
Delgado MR, 2001, JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, P1247, DOI 10.1109/NAFIPS.2001.943726
机构:
USN, Res Lab, Navy Ctr Appl Res Artificial Intelligence, Washington, DC 20375 USAUSN, Res Lab, Navy Ctr Appl Res Artificial Intelligence, Washington, DC 20375 USA
Potter, Mitchell A.
De Jong, Kenneth A.
论文数: 0引用数: 0
h-index: 0
机构:
George Mason Univ, Dept Comp Sci, Fairfax, VA 22030 USAUSN, Res Lab, Navy Ctr Appl Res Artificial Intelligence, Washington, DC 20375 USA