| Fuzzy contrOller (FC) is a hod of intelligent controller, whichimitates human thoughts uses the information Of our language, so fuzzy controllercomprehended easily, design simply, maintenance conveniently. Because of fuzzycontroller based on control rules including fuzzy information, stability and robusticityof control systems, which consist of fuzzy controller, are better than those of generalcontroller. During improving system characteristics, fuzzy control systems may modifysystem characteristics by changing control rules, membership function reasoningmethods and decision-making methods, rather adjusting parameters like generalcontrol systems. Genetic algorithm (GA) is a kind of convergent algorithm with self-adaptation, elicitation, colony, probability, and iteration on whole range. OptimizingFC using GA 's good search characteristics may obtain better control results. Thispaper brings forward Multi-model Fuzzy Optimization Control by researching a lotsof system's construct of industry process with different operation which is regarded asMulti-model Object and making analysis with people's decision, whose keys arecalculation of MOdel Matching Degree and Control Weight.In addtion, Author makes analysis to correlative fuzzy logic systems, fuzzycontroller,GA and its astringency in this paper. |
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