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Differential Evolution Based PID Antenna Position Control System
Subject area: Science,Engineering and Technology · Area of research: Control System
Abstract
This paper presents a robust and efficient way of tuning PID controller using different variants of differential evolution (DE) algorithms for antenna positioning system. 20 DE variants were implemented out of which DE/rand/1/bin appear to be more promising in addressing this problem with peak overshot of 0.0052, rise time of 0.01sec, and settling time of 0.01sec. This has an overall cost or objective fitness function of 0.0162. The second best optimizer is DE/best/1/exp.
Keywords
Differential evolution algorithms, PID controller, Step response, Ziegler?Nichols tuning method, optimization, objective fitness function.
How to cite this paper
Sunday Iliya, Felix Egbujo, Olurotimi Olakunle Awodiji, Philip Omolaye "Differential Evolution Based PID Antenna Position Control System" Iconic Research And Engineering Journals Volume 6 Issue 12 2023 Page 601-606
Sunday Iliya, Felix Egbujo, Olurotimi Olakunle Awodiji, Philip Omolaye "Differential Evolution Based PID Antenna Position Control System" Iconic Research And Engineering Journals, vol. 6, no. 12, Jul. 2023
Sunday Iliya, Felix Egbujo, Olurotimi Olakunle Awodiji, Philip Omolaye (2023). Differential Evolution Based PID Antenna Position Control System. Iconic Research And Engineering Journals, 6(12).
Sunday Iliya, Felix Egbujo, Olurotimi Olakunle Awodiji, Philip Omolaye "Differential Evolution Based PID Antenna Position Control System" Iconic Research And Engineering Journals, vol. 6, no. 12, Jul. 2023.
@article{1704678,
author = {Sunday Iliya, Felix Egbujo, Olurotimi Olakunle Awodiji, Philip Omolaye},
title = {Differential Evolution Based PID Antenna Position Control System},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {12},
pages = {601-606},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704678.pdf},
abstract = {This paper presents a robust and efficient way of tuning PID controller using different variants of differential evolution (DE) algorithms for antenna positioning system. 20 DE variants were implemented out of which DE/rand/1/bin appear to be more promising in addressing this problem with peak overshot of 0.0052, rise time of 0.01sec, and settling time of 0.01sec. This has an overall cost or objective fitness function of 0.0162. The second best optimizer is DE/best/1/exp.},
keywords = {Differential evolution algorithms, PID controller, Step response, Ziegler?Nichols tuning method, optimization, objective fitness function.},
month = {June},
}