An adaptive fuzzy-synchronous machine stabilizer

Describes an adaptive fuzzy-synchronous machine power system stabilizer (PSS) that behaves like a proportional integral derivative (PID) controller. The implemented adaptive technique predicts tracking-error divergence and makes online adjustments to the controller gain parameters in order to obtain a faster regulation of the error signal. The proposed PSS is less sensitive to the quality of expert knowledge, and thus is more robust than a non-adaptive fuzzy PSS when subjected to large disturbances. Hence, adequate controls are derived for the various error cases, and smooth control surfaces are achieved. Simulations are carried out using the proposed PSS to show that it consistently gives a stable response with acceptable overshoots and settling times on the frequency, angle and voltage errors