The Analysis of Fuzzy Control Algorithm

It is difficult for traditional control theory to deal with the system which has the characteristic of uncertainty, high nonlinearity and complex tasks. Fuzzy control simulates people´ control experience, it doesn´t depend on the actual model of the object. Fuzzy controller has widely used in our world when encountered uncertainty nonlinearity. A fuzzy controller is designed here based on fuzzy control principles. The effect of membership function to control effect is analyzed corresponding to experimental results. A comparison of control effect is done through changing system parameter and membership function. Through experiments, the results show fuzzy control can process the nonlinearity property of the system well; triangular membership function is more sensitive than the trapezoid membership function in actual using.