Title :
When and when not to use fuzzy logic in industrial control
Author :
Chen, Gordon ; Kairys, George
Author_Institution :
Niagara Coll., Welland, Ont., Canada
Abstract :
The design of a fuzzy logic control system is an experimental process. Indicators for when and when not to use fuzzy logic control for industrial automation are cued from considerations of application examples. Fuzzy logic control is indicated and shown to be practical where the process/plant is complex nonlinear and operator-dependent. The technology can be introduced gradually by using fuzzy inference output as artificial intelligence to assist the operator´s decision making
Keywords :
fuzzy control; industrial computer control; artificial intelligence; decision making; fuzzy inference output; fuzzy logic; industrial control; Automatic control; Automation; Control systems; Educational institutions; Electrical equipment industry; Fuzzy logic; Industrial control; Mathematical model; Process control; Three-term control;
Conference_Titel :
Industry Applications Society Annual Meeting, 1993., Conference Record of the 1993 IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-1462-X
DOI :
10.1109/IAS.1993.299142
