Title :
Non interacting fuzzy logic control for interacting systems
Author :
Nassar, A. ; El-Sherif, M.S. ; El-samee, M. S Abd
Author_Institution :
Dept. of Electron. & Commun., Cairo Univ., Giza, Egypt
Abstract :
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
Keywords :
MIMO systems; control system analysis computing; errors; fuzzy control; fuzzy logic; multivariable control systems; transfer functions; C language; MIMO system; analytical controllers; coupling effect; fuzzy logic production rules; interacting systems; multi input multi output system; noninteracting fuzzy logic control; rule-based controllers; system response error; Analytical models; Automatic control; Communication system control; Control systems; Error correction; Fuzzy control; Fuzzy logic; MIMO; Process control; Transfer functions;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343114