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.
Morsy, G. A., & Mohammed, T. (2001). AN ANN BASED PI CONTROLLER FOR A SUPERCONDUCTING GENERATOR. ERJ. Engineering Research Journal, 24(3), 113-125. doi: 10.21608/erjm.2001.71054
MLA
G. A. Morsy; T.A. Mohammed. "AN ANN BASED PI CONTROLLER FOR A SUPERCONDUCTING GENERATOR", ERJ. Engineering Research Journal, 24, 3, 2001, 113-125. doi: 10.21608/erjm.2001.71054
HARVARD
Morsy, G. A., Mohammed, T. (2001). 'AN ANN BASED PI CONTROLLER FOR A SUPERCONDUCTING GENERATOR', ERJ. Engineering Research Journal, 24(3), pp. 113-125. doi: 10.21608/erjm.2001.71054
VANCOUVER
Morsy, G. A., Mohammed, T. AN ANN BASED PI CONTROLLER FOR A SUPERCONDUCTING GENERATOR. ERJ. Engineering Research Journal, 2001; 24(3): 113-125. doi: 10.21608/erjm.2001.71054
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