Adaptive fuzzy logic control of a turbine generator system

This paper is concerned with the application of an adaptive, fuzzy logic controller to a synchronous generator system. Significant reductions in the amount of required calculations have been made which allow a direct analysis of the system. A novel on-line training algorithm is proposed to adapt fuzzy rule base which is shown to converge globally and provide the desired regulation for disturbances at all operating points. The sensitivity of the controller with respect to changes in design parameters is analysed. Test responses are compared with a self-tuning regulator to show the effectiveness of the proposed system. Micromachine tests further establish the possibility of developing a practical controller