DocumentCode
2446578
Title
A parametric fuzzy control module with 16 bit standard microcontroller SAB 80C166 for a modular process data system
Author
Pistauer, Markus ; Roehrer, Robert
Author_Institution
Dept. of Electron., Graz Univ. of Technol., Austria
fYear
1994
fDate
18-21 Dec 1994
Firstpage
338
Lastpage
339
Abstract
The design and implementation of a parametric fuzzy control module for an independent modular process data and control system are presented. The module is designed to receive either precalculated process data from the internal process computer of the process data system or real time process data by connecting the fuzzy module to process sensor interfaces. A 16-bit CMOS microcontroller, the SAB 80C166, works as CPU. Depending on piecewise linear membership functions and fuzzy rules up to four independent system outputs are calculated and fed back to the process computer or directly adjust process actuators. Process system information, membership functions, fuzzy control system optimization and fuzzy rules can be set by only few parameters. For fuzzy system development no external computer is needed. A realtime system optimization is provided by the design of the fuzzy controller with a neural network structure
Keywords
CMOS integrated circuits; computerised control; computerised instrumentation; fuzzy control; microcontrollers; 16 bit standard microcontroller SAB 80C166; CMOS microcontroller; fuzzy control system optimization; fuzzy rules; internal process computer; membership functions; modular process data system; neural network; parametric fuzzy control module; piecewise linear membership functions; precalculated process data; process actuators; process computer; process sensor interfaces; real time process data; realtime system optimization; Computer interfaces; Control systems; Data systems; Fuzzy control; Fuzzy systems; Joining processes; Microcontrollers; Process control; Real time systems; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-2125-1
Type
conf
DOI
10.1109/IJCF.1994.375091
Filename
375091
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