Non interacting fuzzy logic control for interacting systems

Control systems that depend on fuzzy logic have become very efficient. We try to apply this new technique to MIMO "multi input multi output" process. The conventional control method has been used to solve this problem. The proposed approach is based on the solution of the coupling effect b...

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Bibliographic Details
Published inProceedings of 36th Midwest Symposium on Circuits and Systems pp. 32 - 34 vol.1
Main Authors Nassar, A., El-Sherif, M.S., Abd El-Samee, M.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1993
Subjects
Analytical models
Automatic control
Communication system control
Control systems
Error correction
Fuzzy control
Fuzzy logic
MIMO
Process control
Transfer functions
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Summary:Control systems that depend on fuzzy logic have become very efficient. We try to apply this new technique to MIMO "multi input multi output" process. The conventional control method has been used to solve this problem. The proposed approach is based on the solution of the coupling effect between two inputs of the desired process. Consequently, we can convert from interacting systems into non interacting systems using a set of fuzzy logic production rules. The inputs to the fuzzy logic controller are the error and the change in error of the system response. A comparison between the rule-based and analytical controllers is presented. Simulation and analysis are written in C language.< >
ISBN:0780317602
9780780317604
DOI:10.1109/MWSCAS.1993.343114