Adaptive Fuzzy Controller and Adaptive Self-Tuning Controller: Comparative Analysis for the Excitation Control of a Synchronous Generator

This paper presents a comparative study between an adaptive fuzzy controller and an adaptive selftuning controller with application to excitation control of a synchronous generator. The adaptive self-tuning controller is based on a dual action, obviously on control input, and also on reference signal. The proposed adaptive fuzzy controller includes a mechanism to adapt one of the tuning parameters. Some comparative studies are performed regarding the performance of a conventional fuzzy PI controller and the designed adaptive fuzzy PI controller (all with application to excitation control of a synchronous generator functioning in active power load regime). Also, to design the adaptive self-tuning controller two situations were considered concern the used parameters estimator: in the first case using a recursive least square error parameters estimator and, in the second, using a parameters estimator based on Givens orthogonal transformation. Key-Words: fuzzy controller, adaptive self-tuning controller, identification, modeling and simulation, nonlinear systems, synchronous generator.