Parameters-tuning of PID controller for automatic voltage regulators using the African buffalo optimization

Area of Science:

• Control Systems Engineering
• Computational Intelligence
• Electrical Engineering

Background:

• Automatic Voltage Regulators (AVR) are critical for maintaining stable power system voltages.
• Existing metaheuristic methods for tuning Proportional-Integral-Derivative (PID) controllers show success but require improvement in reducing gain overshoot and steady-state errors.

Purpose of the Study:

• To apply the African Buffalo Optimization (ABO) algorithm for tuning PID controller parameters in an AVR system.
• To address limitations in gain overshoot and steady-state errors observed in current metaheuristic tuning approaches.

Main Methods:

• The African Buffalo Optimization (ABO) algorithm was employed, treating each buffalo's location as a candidate solution for PID controller parameters.
• Simulations were conducted to evaluate the performance of the ABO-tuned PID controller (ABO-PID).

Main Results:

• The ABO-PID controller demonstrated superior performance in simulations compared to Genetic Algorithm PID (GA-PID), Particle Swarm Optimization PID (PSO-PID), Ant Colony Optimization PID (ACO-PID), and Bacteria Foraging Optimization PID (BFO-PID).
• The ABO method effectively minimized gain overshoot and steady-state errors in the AVR system.

Conclusions:

• The African Buffalo Optimization (ABO) is a promising metaheuristic technique for optimizing PID controller parameters in AVR systems.
• ABO-PID offers a valuable addition to the field of metaheuristic-based PID controller tuning, particularly for improving transient and steady-state responses.