TY - GEN
T1 - A Comparative Evaluation of Metaheuristic Optimization Methods for Control Applications
AU - García, David
AU - Herrera, Marco
AU - Camacho, Oscar
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper presents a comparative study of metaheuristic techniques for optimizing tuning in two controllers applied to processes characterized by long-dead times. Experimental validation was conducted on an Arduino Temperature Control Lab with additional software-induced delays. The investigation involved tuning the Smith Predictor and PI controllers by utilizing three distinct meta-heuristic optimization algorithms: the Whale Optimization Algorithm, Gray Wolf Optimizer, and Ant Lion Optimizer. The pursuit was guided by the minimization of the Integral Square Error, serving as the cost function. The effectiveness of these control strategies was evaluated using diverse performance indices. The results accentuate the predominance of the Smith Predictor coupled with the Whale Optimization Algorithm, emerging as the most suitable and balanced choice among the examined control methodologies.
AB - This paper presents a comparative study of metaheuristic techniques for optimizing tuning in two controllers applied to processes characterized by long-dead times. Experimental validation was conducted on an Arduino Temperature Control Lab with additional software-induced delays. The investigation involved tuning the Smith Predictor and PI controllers by utilizing three distinct meta-heuristic optimization algorithms: the Whale Optimization Algorithm, Gray Wolf Optimizer, and Ant Lion Optimizer. The pursuit was guided by the minimization of the Integral Square Error, serving as the cost function. The effectiveness of these control strategies was evaluated using diverse performance indices. The results accentuate the predominance of the Smith Predictor coupled with the Whale Optimization Algorithm, emerging as the most suitable and balanced choice among the examined control methodologies.
KW - PI
KW - Smith Predictor
KW - TCLAB
KW - dead-time
KW - metaheuristic
KW - optimization algorithms
UR - http://www.scopus.com/inward/record.url?scp=85179513595&partnerID=8YFLogxK
U2 - 10.1109/ETCM58927.2023.10308968
DO - 10.1109/ETCM58927.2023.10308968
M3 - Contribución a la conferencia
AN - SCOPUS:85179513595
T3 - ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
BT - ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
A2 - Lalaleo, David Rivas
A2 - Chauvin, Manuel Ignacio Ayala
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023
Y2 - 10 October 2023 through 13 October 2023
ER -