Fuzzy Optimization Control of the Temperature for the Heating Process in Coke Oven Based on Co-evolution

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.

[1]  Moshe Sipper,et al.  Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling , 2001, IEEE Trans. Fuzzy Syst..

[2]  Fernando José Von Zuben,et al.  Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach , 2004, Fuzzy Sets Syst..

[3]  Moshe Sipper,et al.  A fuzzy-genetic approach to breast cancer diagnosis , 1999, Artif. Intell. Medicine.

[4]  Yaochu Jin,et al.  An approach to rule-based knowledge extraction , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[5]  Raúl Pérez,et al.  Completeness and consistency conditions for learning fuzzy rules , 1998, Fuzzy Sets Syst..

[6]  Dilip Kumar Pratihar,et al.  Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding , 2004, Fuzzy Sets Syst..

[7]  Junwei Gao,et al.  Intelligent switching system methodology and its application in complex process control system , 2002, Proceedings 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002).

[8]  F. Von Zuben,et al.  Local and global estimation of Takagi-Sugeno consequent parameters in genetic fuzzy systems , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[9]  Kenneth A. De Jong,et al.  Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents , 2000, Evolutionary Computation.