Fuzzy Model Reference Learning Control for a Nonlinear Model of Hydrogenerator Unit

The principle of fuzzy model reference learning control (FMRLC) is expatiated in this paper. The FMRLC approach is applied to a nonlinear dynamical model of hydrogenerator unit by adjusting or changing fuzzy rule-base. The simulation results are compared with PED control scheme with genetic algorithm (GA-PID) in both 2.5 Hz frequency disturbance and 30% load rejection. And the simulations indicate that FMRLC is more effective for the improvement of dynamical performances with better frequency response and less undershoot. Also, it is effective to the nonlinear model of hydraulic turbine governing system with not only time-invariant parameters but also time-varying parameters.

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