PID Controller Parameter Optimization Using Ant Colony Algorithm

This repository provides MATLAB source code for PID controller parameter optimization utilizing the Ant Colony Algorithm. The implementation includes detailed step-by-step procedures accompanied by comprehensive explanations. The code demonstrates key aspects such as pheromone initialization, probability selection mechanisms for parameter exploration, and pheromone update rules for convergence optimization. This resource facilitates deeper understanding of Ant Colony Algorithm applications in PID control systems and serves as a practical reference for your own projects. Follow the sequential steps outlined in the source code and make necessary modifications based on the provided documentation to adapt the solution to your specific requirements. The implementation features modular functions for fitness evaluation, parameter boundary handling, and convergence monitoring. We hope this code proves valuable for your work and wish you success in optimizing PID control parameters!