The Study Of Application And Simulation Based On Genetic Algorithm On Two-Demention Fuzzy Control Systerm

In this thesis 2-dimension fuzzy-control system with adjustable factors was analyzed and simulated using Matlab as tool of data processing. Genetic algorithm was used to search for the best adjustable factors.The study of this paper focus mainly on simulating and analyzing control system with different adjustable factors. And adjustable factors can be configured according to control expectation. The control results had been simulated and compared. The effect of adjustable factors on control performance can be estimated by simulation graph. Any control results can be achieved by the way of adjusting factors. Control performance factor was employed in adaptability function of genetic algorithm in order to realize to configure adjustable factors according to control expectation. And this method was been proved to be feasible by simulating graph.Based on simulation, 2-dimension fuzzy control system was researched, which was used to control two correlative variables of Circulating Fluidized Bed boiler 's combustion control system.