A free model based intelligent controller design and its application to power system stabilization

The free-model concept is introduced as an alternative intelligent system technique to design a controller with input and output data only. The idea of a free model comes from the Taylor series approximation, where an output can be estimated when such data as position, velocity, and acceleration are known. The parameters in the free model can be estimated using the input-output data and a controller can be designed based on the free model. The free model thus developed is shown to be controllable, observable, and robust. The accuracy of the free-model approximation can be improved by increasing the observation window and the order of the free model. The LQR method is applied to the free model to design power system stabilizers (PSS), and compared with the conventional PSS.