The paper presents a coordinated artificial neural network (ANN) based
proportional plus-integral (PI) controller for a superconducting generator (SCG).
The ANN controller was trained using data groups, that covers the whole P-Q
plane. These data groups obtained from a PI controller implemented on the
governor control loop. To test the present control strategy, a fairly detailed
nonlinear model of the SCG is used to assure accuracy and validity of the
proposed control structure. The simulation results are presented in comparison
with similar results which obtained using the conventional PI controller. The
simulation results reveal that the ANN control design approach can be
implemented to design controllers for the SCG and give results similar to those of
conventional controllers.