ON DESIGN OF ADAPTIVE FUZZY CONTROLLER USING FUZZY NEURAL NETWORKS AND A DESCRIPTION OF ITS DYNAMICAL BEHAVIOR

This paper presents a design method of adaptive fuzzy controller. The fuzzy controller is designed with linguistic rules of fuzzy models of controlled objects. The fuzzy model is identified with a fuzzy neural network (FNN). This paper also presents a ''rule-to-rule mapping'' met hod for describing the dynamical behavior of the designed control syst em. The new method uses the fuzzy rules of fuzzy control system and en ables the description of the dynamical behavior using the language of the rules. Modification of control rules becomes easy with the mapping method. The designed fuzzy controller can be implemented with another FNN. An adaptive tuning of the control rules of the FNN controller is made possible utilizing the fuzzy model. Simulations using a controll ed object with a second-order system are done to verify the proposed d esign method.