A Universal Approach to Adaptive Fuzzy Logic Controller Design with an Application to a Power Generator Excitation Control

Abstract

The problem of computerisation of the adaptive fuzzy logic controller design has emerged nowadays as both practical and theoretical one. This paper proposes a universal adaptive fuzzy logic controller (FLC) structure with its application to the excitation control of a synchronous generator connected to an infinite bus through a transmission line. The proposed system features an automatic learning mechanism which enables on-line updating and tuning of the global input and output ranges of the FLC as well as an implicit tuning and updating of the controller classes and rules. The on-line tuning of the controller parameters is achieved via new concepts of fuzzy logic design. These novel concepts have been developed and implemented for the purpose of improving the efficiency of fuzzy learning based on the FLC status and the system performance. The system implementing this universal design approach, called SHAY, has been developed. The proposed system has been tested for an excitation control on a laboratory setup of a synchronous generator connected to an infinite bus where it has proved efficiency and robustness under different operating conditions.