Dynamic Behavior and Stability Analysis of Automatic Voltage Regulator with Parameter Uncertainty

This research article describes a novel optimization technique called simulink design (SDO) to compute the optimal PID coefficients for an automatic voltage regulator (AVR). The time-domain performance of proposed controller was analyzed using MATLAB/Simulation, and its compared with that water cycle algorithm, genetic local unimodal sampling algorithm-based controllers. robustness verified by applying disturbances generator field amplifier parameter uncertainty. studies presented in literature were discussed AVR loop stability Bode plot which will not give minimum margins. study proposes analysis disk-based authenticate is obtained classical analysis. MATLAB results reveal SDO-PID regulates terminal precisely, more robust uncertainty, stable than other maximum allowable uncertainty model identified as 102% nominal parameters. margins are recognized DGM = 10.40 dB DPM 56.50° stability.