English

PID Parameters Optimization by Using Genetic Algorithm

Systems and Control 2012-04-05 v1 Machine Learning Neural and Evolutionary Computing

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.

Keywords

Cite

@article{arxiv.1204.0885,
  title  = {PID Parameters Optimization by Using Genetic Algorithm},
  author = {Andri Mirzal and Shinichiro Yoshii and Masashi Furukawa},
  journal= {arXiv preprint arXiv:1204.0885},
  year   = {2012}
}

Comments

12 pages, 4 figures

R2 v1 2026-06-21T20:44:28.611Z