Title :
A fuzzy logic controller with switching knowledge base for industrial process control
Author :
Ladera, L.E. ; Reyes, Carlos ; Margaglio, Elizabeth ; Soteldo, Liliana
Author_Institution :
Dept. de Electronica y Circuitos, Simon Bolivar Univ., Caracas, Venezuela
Abstract :
In this work fuzzy control was used to control the temperature of an aqueous solution of caustic soda. The main objective was to develop and implement a controller based on fuzzy logic theory as an alternative for process control in the brewing industry. The efficiency of this novel control strategy was then established given the actual results obtained. These results demonstrated the utility and efficiency of fuzzy control to control an industrial process with long range and fast changing characteristic variables. The fuzzy logic controller thus designed and used, showed a great adaptability through a change in the knowledge base
Keywords :
brewing industry; fuzzy control; knowledge based systems; process control; temperature control; aqueous solution; brewing industry; characteristic variables; control strategy; fuzzy logic controller; industrial process control; switching knowledge base; temperature control; Cement industry; Circuits; Cleaning; Fungi; Fuzzy control; Fuzzy logic; Industrial control; Process control; Temperature control; Valves;
Conference_Titel :
Devices, Circuits and Systems, 1995., Proceedings of the 1995 First IEEE International Caracas Conference on
Conference_Location :
Caracas
Print_ISBN :
0-7803-2672-5
DOI :
10.1109/ICCDCS.1995.499171
