Title :
Successive fuzzy rule based tuning of industrial control systems
Author :
Vachkov, Gancho ; Nikolov, Metodi
Author_Institution :
Dept. of Autom. of Ind., Sofia Univ. of Technol., Bulgaria
Abstract :
A supervisory control structure for successive plant model tuning and respective controller parameters adjustment has been proposed. The performance evaluation as well as the inference for model gain tuning use fuzzy rule based technique. Extensive analysis of an illustrative example has been performed showing the real applicability of the concept proposed
Keywords :
adaptive control; fuzzy control; industrial control; inference mechanisms; controller parameters adjustment; industrial control systems; model gain tuning; performance evaluation; successive fuzzy rule based tuning; successive plant model tuning; supervisory control structure; Adaptive control; Automatic control; Automation; Electrical equipment industry; Electronic mail; Furnaces; Fuzzy control; Fuzzy systems; Industrial control; Predictive models;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409981
