AUTOMATIC CONTROL OF SERIES-CONNECTED SYNCHRONOUS GENERATORS BASED ON THE INVERSE NEURAL NETWORK MODELS

Abstract

For electromechanic system, consisting of two synchronous generators which are connected in series is derived by hydraulic turbine, synthesizing the rotation angle controller of rotor system. The controller is based on inverse neuron network models of generators and turbine control needle. The mathematical modelling method for studying of the dynamics of this system confirming its fundamental efficiency and stability.