PID Parameters Optimization by Using Genetic Algorithm

TL;DR

This paper explores using Genetic Algorithms to optimize PID controller parameters for systems with time delays, aiming to improve response compensation compared to traditional methods.

Contribution

It introduces a GA-based approach for PID tuning in delayed systems and compares its effectiveness with existing techniques.

Findings

GA outperforms traditional methods in delay compensation

Improved system response with optimized PID parameters

Comparison shows GA provides better tuning results

Abstract

Time delays are components that make time-lag in systems response. They arise in physical, chemical, biological and economic systems, as well as in the process of measurement and computation. In this work, we implement Genetic Algorithm (GA) in determining PID controller parameters to compensate the delay in First Order Lag plus Time Delay (FOLPD) and compare the results with Iterative Method and Ziegler-Nichols rule results.