Fuzzy logic based identifier and pole-shifting controller for PSS application

Effectiveness of self-tuning power system stabilizers (APSSs) has been demonstrated in the literature. A self-tuning control algorithm consists of an identifier and a controller. A Takagi-Sugeno (TS) fuzzy system is used as an on-line identifier of a synchronous machine model. TS fuzzy system is trained incrementally each time step and is used to predict one-step ahead system output. The identified system is used with the pole-shifting control strategy to calculate the control signal. The effectiveness of the proposed approach is demonstrated by simulation studies on a power system.