A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter

Over the last decade, there has been a constant development in control techniques for DC-DC power converters which can be classified as linear and nonlinear. Researchers focus on obtaining maximum efficiency using linear control techniques to avoid complexity although nonlinear control techniques ma...

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Autores principales:	Davut Izci, Baran Hekimoğlu, Serdar Ekinci
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Artificial ecosystem-based optimization Nelder-Mead method PID controller Buck converter Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/692389d4cae742b7802722d6d55ec873
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id	oai:doaj.org-article:692389d4cae742b7802722d6d55ec873
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spelling	oai:doaj.org-article:692389d4cae742b7802722d6d55ec8732021-11-30T04:13:55ZA new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter1110-016810.1016/j.aej.2021.07.037https://doaj.org/article/692389d4cae742b7802722d6d55ec8732022-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S111001682100507Xhttps://doaj.org/toc/1110-0168Over the last decade, there has been a constant development in control techniques for DC-DC power converters which can be classified as linear and nonlinear. Researchers focus on obtaining maximum efficiency using linear control techniques to avoid complexity although nonlinear control techniques may achieve full dynamic capabilities of the converter. This paper has a similar purpose in which a novel hybrid metaheuristic optimization algorithm (AEONM) is proposed to design an optimal PID controller for DC-DC buck converter’s output voltage regulation. The AEONM employs artificial ecosystem-based optimization (AEO) algorithm with Nelder-Mead (NM) simplex method to ensure optimal PID controller parameters are efficiently tuned to control output voltage of the buck converter. Initial evaluations are performed on benchmark functions. Then, the performance of AEONM-based PID is validated through comparative results of statistical boxplot, non-parametric test, transient response, frequency response, time-domain integral-error-performance indices, disturbance rejection and robustness using AEO, particle swarm optimization and differential evolution. A comparative performance analysis of transient and frequency responses is also performed against simulated annealing, whale optimization and genetic algorithms for further performance assessment. The comparisons have shown the proposed hybrid AEONM algorithm to be superior in terms of enhancing the buck converter’s transient and frequency responses.Davut IzciBaran HekimoğluSerdar EkinciElsevierarticleArtificial ecosystem-based optimizationNelder-Mead methodPID controllerBuck converterEngineering (General). Civil engineering (General)TA1-2040ENAlexandria Engineering Journal, Vol 61, Iss 3, Pp 2030-2044 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Artificial ecosystem-based optimization Nelder-Mead method PID controller Buck converter Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Artificial ecosystem-based optimization Nelder-Mead method PID controller Buck converter Engineering (General). Civil engineering (General) TA1-2040 Davut Izci Baran Hekimoğlu Serdar Ekinci A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter
description	Over the last decade, there has been a constant development in control techniques for DC-DC power converters which can be classified as linear and nonlinear. Researchers focus on obtaining maximum efficiency using linear control techniques to avoid complexity although nonlinear control techniques may achieve full dynamic capabilities of the converter. This paper has a similar purpose in which a novel hybrid metaheuristic optimization algorithm (AEONM) is proposed to design an optimal PID controller for DC-DC buck converter’s output voltage regulation. The AEONM employs artificial ecosystem-based optimization (AEO) algorithm with Nelder-Mead (NM) simplex method to ensure optimal PID controller parameters are efficiently tuned to control output voltage of the buck converter. Initial evaluations are performed on benchmark functions. Then, the performance of AEONM-based PID is validated through comparative results of statistical boxplot, non-parametric test, transient response, frequency response, time-domain integral-error-performance indices, disturbance rejection and robustness using AEO, particle swarm optimization and differential evolution. A comparative performance analysis of transient and frequency responses is also performed against simulated annealing, whale optimization and genetic algorithms for further performance assessment. The comparisons have shown the proposed hybrid AEONM algorithm to be superior in terms of enhancing the buck converter’s transient and frequency responses.
format	article
author	Davut Izci Baran Hekimoğlu Serdar Ekinci
author_facet	Davut Izci Baran Hekimoğlu Serdar Ekinci
author_sort	Davut Izci
title	A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter
title_short	A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter
title_full	A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter
title_fullStr	A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter
title_full_unstemmed	A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter
title_sort	new artificial ecosystem-based optimization integrated with nelder-mead method for pid controller design of buck converter
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/692389d4cae742b7802722d6d55ec873
work_keys_str_mv	AT davutizci anewartificialecosystembasedoptimizationintegratedwithneldermeadmethodforpidcontrollerdesignofbuckconverter AT baranhekimoglu anewartificialecosystembasedoptimizationintegratedwithneldermeadmethodforpidcontrollerdesignofbuckconverter AT serdarekinci anewartificialecosystembasedoptimizationintegratedwithneldermeadmethodforpidcontrollerdesignofbuckconverter AT davutizci newartificialecosystembasedoptimizationintegratedwithneldermeadmethodforpidcontrollerdesignofbuckconverter AT baranhekimoglu newartificialecosystembasedoptimizationintegratedwithneldermeadmethodforpidcontrollerdesignofbuckconverter AT serdarekinci newartificialecosystembasedoptimizationintegratedwithneldermeadmethodforpidcontrollerdesignofbuckconverter
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A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter

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