Hybrid GA–GWO PID Controller Optimization for Second-Order S

Compares Genetic Algorithm, Grey Wolf Optimizer, and hybrid GA→GWO methods for optimal PID tuning.

Overview

This MATLAB project demonstrates the optimization of PID controller parameters using three different metaheuristic methods:

1. Genetic Algorithm (GA)
2. Grey Wolf Optimizer (GWO)
3. Hybrid GA→GWO approach (refinement of GA results using GWO)

The provided script automatically tunes a PID controller for a second-order system, compares the closed-loop performance, and simulates hardware-like behavior with sampling, quantization, and saturation effects.Features

• Automatic PID tuning using GA, GWO, and hybrid GA→GWO
• Cost function based on IAE (Integral of Absolute Error) and overshoot penalty
• Step response, disturbance rejection, and discrete hardware simulation
• Fully self-contained MATLAB script — no toolboxes required