Gene

Voltage regulator

Control (management)

Temperature control

Step response

Voltage

Engineering

MATLAB

Fitness function

Control engineering

Robustness (evolution)

Stability (learning theory)

Operating system

Biochemistry

Computer science

Mathematical optimization

Optimal design

PID controller

Mathematics

Genetic algorithm

Artificial intelligence

Chemistry

Control theory (sociology)

Machine learning

Electrical engineering

Journal of King Saud University - Engineering Sciences

Considering the superior control characteristics and increased tuning flexibility of the Fractional-Order Proportional Integral Derivative (FOPID) controller than the conventional PID regulator, this article attempts to explore its application in the optimal design of the Automatic Voltage Regulator (AVR). Since FOPID has two additional tuning parameters (µ and ʎ) than its mentioned conventional counterpart, its tuning process is comparatively difficult. To overcome the stated issue, a self-regulated off-line optimal tuning method based on the Gradient-Based Optimization (GBO) algorithm is adopted in the current study. The optimal FOPID gains are obtained by minimizing the selected Fitness Function (FF) that is chosen as Integral Time Absolute Error (ITAE) in the current study. The simulations are performed using MATLAB/SIMULINK 2018a to test and compare the performance of the proposed GBO-based optimal AVR design based on the dynamic response, stability, and robustness evaluation metrics with some of the recently published metaheuristic optimization algorithm based optimal AVR designs in the literature. The results show that the proposed AVR design provides the most optimal dynamic response and enhanced stability among the considered AVR designs, thus proves its efficacy and essence.

Optimal design of Fractional order PID controller based Automatic voltage regulator system using gradient-based optimization algorithm