Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding

This research presents firefly algorithm optimization tuned integral plus proportional and derivative (I-PD) controller to control the temperature response model according to Tao Liu and Ke Yao and Furong Gao model. In order to achieve effective and efficient control, proportional integral and der...

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Autores principales:	Akekachai Pannawan, Supattarachai Sudsawat
Formato:	article
Lenguaje:	EN
Publicado:	Prince of Songkla University 2021
Materias:	firefly algorithm optimization integral plus proportional and derivative (i-pd) controller proportional integral and derivative (pid) ziegler-nichols tuning (zn) Technology T Technology (General) T1-995 Science Q Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/6c4d8f300b194ab196b08f03d02713c5
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id	oai:doaj.org-article:6c4d8f300b194ab196b08f03d02713c5
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spelling	oai:doaj.org-article:6c4d8f300b194ab196b08f03d02713c52021-11-07T17:00:38ZOptimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding10.14456/sjst-psu.2021.1470125-3395https://doaj.org/article/6c4d8f300b194ab196b08f03d02713c52021-08-01T00:00:00Zhttps://rdo.psu.ac.th/sjstweb/journal/43-4/27.pdfhttps://doaj.org/toc/0125-3395This research presents firefly algorithm optimization tuned integral plus proportional and derivative (I-PD) controller to control the temperature response model according to Tao Liu and Ke Yao and Furong Gao model. In order to achieve effective and efficient control, proportional integral and derivative (PID) controller is used to compare with I-PD controller through using Ziegler-Nichols Tuning (ZN), particle swam optimization (PSO), and fuzzy logic controller compared with firefly algorithm optimization for tuning. All controller designs are modeled in SIMULINK and empirical tests. From the results, it is practically observed that firefly algorithm tuned PID and I-PD controller outperforms other controllers named ZN, PSO controllers, and also fuzzy logic controller. In addition, firefly algorithm optimization method provides a good performance as overshoot reduction and settling. In conclusion, firefly algorithm is a suitable tuning method for temperature controller and can save settling time and reduce overshoots of input power.Akekachai PannawanSupattarachai SudsawatPrince of Songkla Universityarticlefirefly algorithm optimizationintegral plus proportional and derivative (i-pd) controllerproportional integral and derivative (pid)ziegler-nichols tuning (zn)TechnologyTTechnology (General)T1-995ScienceQScience (General)Q1-390ENSongklanakarin Journal of Science and Technology (SJST), Vol 43, Iss 4, Pp 1123-1130 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	firefly algorithm optimization integral plus proportional and derivative (i-pd) controller proportional integral and derivative (pid) ziegler-nichols tuning (zn) Technology T Technology (General) T1-995 Science Q Science (General) Q1-390
spellingShingle	firefly algorithm optimization integral plus proportional and derivative (i-pd) controller proportional integral and derivative (pid) ziegler-nichols tuning (zn) Technology T Technology (General) T1-995 Science Q Science (General) Q1-390 Akekachai Pannawan Supattarachai Sudsawat Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding
description	This research presents firefly algorithm optimization tuned integral plus proportional and derivative (I-PD) controller to control the temperature response model according to Tao Liu and Ke Yao and Furong Gao model. In order to achieve effective and efficient control, proportional integral and derivative (PID) controller is used to compare with I-PD controller through using Ziegler-Nichols Tuning (ZN), particle swam optimization (PSO), and fuzzy logic controller compared with firefly algorithm optimization for tuning. All controller designs are modeled in SIMULINK and empirical tests. From the results, it is practically observed that firefly algorithm tuned PID and I-PD controller outperforms other controllers named ZN, PSO controllers, and also fuzzy logic controller. In addition, firefly algorithm optimization method provides a good performance as overshoot reduction and settling. In conclusion, firefly algorithm is a suitable tuning method for temperature controller and can save settling time and reduce overshoots of input power.
format	article
author	Akekachai Pannawan Supattarachai Sudsawat
author_facet	Akekachai Pannawan Supattarachai Sudsawat
author_sort	Akekachai Pannawan
title	Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding
title_short	Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding
title_full	Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding
title_fullStr	Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding
title_full_unstemmed	Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding
title_sort	optimized parameters to tune i-pd control through firefly algorithm for heating operations of plastic injection molding
publisher	Prince of Songkla University
publishDate	2021
url	https://doaj.org/article/6c4d8f300b194ab196b08f03d02713c5
work_keys_str_mv	AT akekachaipannawan optimizedparameterstotuneipdcontrolthroughfireflyalgorithmforheatingoperationsofplasticinjectionmolding AT supattarachaisudsawat optimizedparameterstotuneipdcontrolthroughfireflyalgorithmforheatingoperationsofplasticinjectionmolding
_version_	1718443288441126912

Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding

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