An Optimal Fuzzy Controller for Synchronous Generator Excitation Control System

Based on the conventional fuzzy excitation controller, to the membership grade´s function of input and output and the selection of quantification factor in the design process of generator´s excitation controller (GEC), the paper introduces the real coding genetic algorithm (GA) to the optimization of fuzzy factor and designs the fuzzy generator´s excitation controller (FGEC) based on optimized GA. The simulation proves that the designed GEC in this way have the better result and the more intensive robust than in the conventional PID excitation controller