Design of (FPID) controller for Automatic Voltage Regulator using Differential Evolution Algorithm

Abstract

This article presents Differential Evolution (DE) to determine optimum fractional proportionalintegral-derivative (FPID) controller parameters for model decrease of an automatic voltage controller (AVR) system. The suggested strategy is a straightforward yet efficient algorithm with balanced capacities for exploration and exploitation to efficiently search for space alternatives to find the best outcome. The algorithm s simplicity offers quick and high-quality tuning of optimum parameters for the FPID controller. A time domain performance index is used to validate the suggested DE-FPID controller. The proposed technique was discovered productive and hearty in improving the transient response of AVR framework contrasted with the PID controllers based Ziegler-Nichols (ZN), FPID based Invasive Weed Optimization (IWO),FPID basedSine-Cosine algorithmn (SCA) tuning strategies.