Neural block control for a synchronous electric generator

We present a novel identification and control scheme, which is able to identify and to control a synchronous generator using a neural identifier. The generator is modelled as a full (eight) order one. A third order neural network such as the one presented in R. A. Felix, et al. (June 2003), is used to identify the dynamics, of the synchronous generator. Moreover, a discontinuous control law based on the neural identifier is designed using the block control technique in order to track reference signals and rejects external disturbances caused by generator terminal short circuits. Simulation results are presented in order to test the applicability of the proposed approach.