1995 Volume 7 Issue 2 Pages 413-431
Fuzzy control has a distinguishing feature in that it can incorporate experts' control rules using linguistic expressions. One of the main problems of the fuzzy control is the difficulty of acquiring the fuzzy rules and tuning the membership functions.The conventional control theory to design controllers using models of controlled objects has been established. Many research works, also, have been done on the design of fuzzy control systems using fuzzy models of controlled objects.This paper presents a linguistic design method of the fuzzy controller using the fuzzy model of the controlled object. The fuzzy model is identified by a fuzzy neural network (FNN). Although the designed fuzzy control rules are not exact, the dynamic behavior of the designed controller can be described and checled withe the fuzzy labels of the fuzzy controller and the fuzzy model. As a result, the designer of the controller can use the designed controller to the real system safely. Modifications of the control rules are also made possible from the known behavior of the control system. An adaptive tuning of the control rules of the FNN is studied. Simulations were done to verify the proposed control system.
