The Research For The Theory Of Adaptive Fuzzy Control

Fuzzy Logic Control (FLC) has been extensively researched since Zadeh published his creative paper in 1965, the fuzzy sets theory is different from the traditional mathematics and control theory, the FLC is simple , flexible , intelligent. Although fuzzy logic controllers have been successfully applied in many complex industrial processes, the fuzzy sets theory has some problems now, for example, the steady control performance of the fuzzy logic controller and the acquisition of control rules and membership functions rely to a great extent on empirical and heuristic knowledge. Hence, in the fuzzy controller design, the acquisition of control rulers and the determination of the fuzzy membership functions are a bottleneck of the design of the fuzzy controller.In the paper, a kind of Adaptive Control is used to optimize fuzzy logic controllers so that the fuzzy controller can get capability of adaptive , self-organized , self-learning, the parameter and ruler of the fuzzy controller can get automatic adjustment, modification and perfecting. This method always adjusts the control performance of system so that we can get optimum control effect. The idea and the method of designing control rulers and membership functions optimization are introduced with emphasis in the paper. The optimal or sub-optimal control rulers and membership functions are obtained by using adaptive control method. Meanwhile, in order to demonstrate the performance of the designed adaptive fuzzy logic controller, it is applied to control temperature control, and get a fairly good control result. The result of the simulation depending on MATLAB software in the computer illustrates that it has good dynamic performance and robust .