Power System Stabilizers with Fuzzy Logic Switching

A self-tuning regulator (STR) with multi-identification models and a minimum variance controller that utilizes fuzzy logic switching is presented. The STR employs recursive least squares algorithms with different order identification models to best model the plant at any given time interval, and an error minimization algorithm will select the one model that has the least identification error in comparison to the plant output. This controller design is applied to a synchronous machine in order to control the speed. The performance of the control system using the proposed scheme shows an overall improvement in comparison to those of existing stabilizers as well as classical STRs