Neural network based control for synchronous generators

In this paper, a Radial Basis Function neural network based AVR is proposed . A control strategy which generates local linear models from a global neur al model on-line is used to derive controller feedback gains based on the G eneralised Minimum Variance technique. Testing is carried out on a micromac hine system which enables evaluation of practical implementation of the sch eme. Constraints imposed by gathering training data, computational load, an d memory requirements for the training algorithm are addressed.