Title :
Fuzzy logic controllers: from development to deployment
Author :
Bonissone, Piero P. ; Chiang, Kenneth H.
Author_Institution :
General Electric Corp., Schenectady, NY, USA
Abstract :
Fuzzy logic control technology is viewed as a high level language in which one can efficiently define and synthesize nonlinear controllers for a given process. Fuzzy proportional integral (PI) controllers are compared to conventional PI and two-dimensional sliding mode controllers. The development of fuzzy logic controllers (FLSs) is compared to that of knowledge based system (KBS) applications. The comparison is decomposed into reasoning tasks (representation, inference, and control) and application tasks (acquisition, development, validation, compilation, and deployment). After a review of the reasoning tasks, the compilation of fuzzy rule bases into fast access lookup tables is discussed. These tables can be used by a simplified run-time engine to determine the FLC´s crisp output for a given input
Keywords :
fuzzy control; inference mechanisms; intelligent control; knowledge based systems; table lookup; uncertainty handling; 2D sliding mode control; application tasks; fuzzy PI control; fuzzy logic control; fuzzy rule bases; intelligent control; lookup tables; nonlinear controllers; reasoning tasks; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; High level languages; Knowledge based systems; Pi control; Proportional control; Sliding mode control;
Conference_Titel :
Neural Networks, 1993., IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0999-5
DOI :
10.1109/ICNN.1993.298545
