Current Volume 10
Robust PID Antenna Position Control System with Disturbance Mitigation Using Differential Evolution Algorithm Variants
Abstract
This paper presents a robust and efficient way of tuning PID controller using different variants of differential evolution (DE) algorithms for control of antenna positioning system and external disturbance mitigation. Quite a number of failure in complex control systems e.g. flights is attributed to external disturbance resulting from natural events, and sometimes from man oriented events. Hence controllers should not only be rated based on their ability to track the command input (target), but also in their ability to mitigate the effects of external disturbance. Five DE variants were implemented in this experiment, out of which DE/rand/2/JDE/bin appear to be optimal in addressing the problem, with maximum disturbance amplitude of 0.00073 which decayed rapidly to zero within 3 seconds, peak overshot of 0.0167, rise time of 0.04sec, and settling time of 0.08sec. This has an overall cost or objective fitness function of 0.034. The second optimal optimizer is DE/rand/1/bin with maximum disturbance amplitude of 0.00079.
Keywords
Differential Evolution Algorithms, PID Controller, Step Response, Ziegler–Nichols Tuning Method, Optimization, Objective Fitness Function.
Citations
IRE Journals:
Sunday Iliya , Olurotimi Olakunle Awodiji, Geraldine Rangmoen Rimven "Robust PID Antenna Position Control System with Disturbance Mitigation Using Differential Evolution Algorithm Variants" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 4970-4976 https://doi.org/10.64388/IREV9I10-1718874
IEEE:
Sunday Iliya , Olurotimi Olakunle Awodiji, Geraldine Rangmoen Rimven
"Robust PID Antenna Position Control System with Disturbance Mitigation Using Differential Evolution Algorithm Variants" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026, doi: https://doi.org/10.64388/IREV9I10-1718874
APA:
Sunday Iliya , Olurotimi Olakunle Awodiji, Geraldine Rangmoen Rimven
(2026). Robust PID Antenna Position Control System with Disturbance Mitigation Using Differential Evolution Algorithm Variants. Iconic Research And Engineering Journals, 9(10). doi: https://doi.org/10.64388/IREV9I10-1718874
MLA:
Sunday Iliya , Olurotimi Olakunle Awodiji, Geraldine Rangmoen Rimven
"Robust PID Antenna Position Control System with Disturbance Mitigation Using Differential Evolution Algorithm Variants" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026. Crossref, https://doi.org/10.64388/IREV9I10-1718874
BibTeX
@article{1718874,
author = {Sunday Iliya , Olurotimi Olakunle Awodiji, Geraldine Rangmoen Rimven},
title = {Robust PID Antenna Position Control System with Disturbance Mitigation Using Differential Evolution Algorithm Variants},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {4970-4976},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1718874.pdf},
abstract = {This paper presents a robust and efficient way of tuning PID controller using different variants of differential evolution (DE) algorithms for control of antenna positioning system and external disturbance mitigation. Quite a number of failure in complex control systems e.g. flights is attributed to external disturbance resulting from natural events, and sometimes from man oriented events. Hence controllers should not only be rated based on their ability to track the command input (target), but also in their ability to mitigate the effects of external disturbance. Five DE variants were implemented in this experiment, out of which DE/rand/2/JDE/bin appear to be optimal in addressing the problem, with maximum disturbance amplitude of 0.00073 which decayed rapidly to zero within 3 seconds, peak overshot of 0.0167, rise time of 0.04sec, and settling time of 0.08sec. This has an overall cost or objective fitness function of 0.034. The second optimal optimizer is DE/rand/1/bin with maximum disturbance amplitude of 0.00079.},
keywords = {Differential Evolution Algorithms, PID Controller, Step Response, Ziegler–Nichols Tuning Method, Optimization, Objective Fitness Function.},
month = {April}
}
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