Optimization of fractional-order PI-PID controllers for MIMO systems using artificial bee colony algorithm
Publication type: Journal Article
Publication date: 2024-07-05
scimago Q2
wos Q3
SJR: 0.674
CiteScore: 8.1
Impact factor: 2.5
ISSN: 14327643, 14337479
Abstract
In this study, we examined the potential of various artificial bee colony (ABC) algorithm variants for optimizing the design of fractional-order Proportional Integral and Derivative (FOPI and FOPID) controllers for multi-input-multi-output systems. The performance of the FOPI and FOPID controllers was evaluated in controlling Wood and Berry distillation columns and an industrial polymerization reactor with and without decoupling. The simulation results showed that the multi-population ABC algorithm based on global and local optima outperformed the other ABC algorithm variants and other state-of-the-art optimization algorithms in terms of control performance.
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Total citations:
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Citations from 2024:
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Ben Djaballah C. et al. Optimization of fractional-order PI-PID controllers for MIMO systems using artificial bee colony algorithm // Soft Computing. 2024.
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Ben Djaballah C., Nouibat W., AYAD R. Optimization of fractional-order PI-PID controllers for MIMO systems using artificial bee colony algorithm // Soft Computing. 2024.
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TY - JOUR
DO - 10.1007/s00500-024-09776-y
UR - https://link.springer.com/10.1007/s00500-024-09776-y
TI - Optimization of fractional-order PI-PID controllers for MIMO systems using artificial bee colony algorithm
T2 - Soft Computing
AU - Ben Djaballah, Chouaib
AU - Nouibat, Wahid
AU - AYAD, Redouane
PY - 2024
DA - 2024/07/05
PB - Springer Nature
SN - 1432-7643
SN - 1433-7479
ER -
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@article{2024_Ben Djaballah,
author = {Chouaib Ben Djaballah and Wahid Nouibat and Redouane AYAD},
title = {Optimization of fractional-order PI-PID controllers for MIMO systems using artificial bee colony algorithm},
journal = {Soft Computing},
year = {2024},
publisher = {Springer Nature},
month = {jul},
url = {https://link.springer.com/10.1007/s00500-024-09776-y},
doi = {10.1007/s00500-024-09776-y}
}