Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms

Recent advancements in computer science include some optimization models that have been developed and used in real applications. Some metaheuristic search/optimization algorithms have been tested to obtain optimal solutions to speed controller applications in self-driving cars. Some metaheuristic al...

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Autores principales:	Luis Fernando de Mingo López, Francisco Serradilla García, José Eugenio Naranjo Hernández, Nuria Gómez Blas
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/6190b40c49e244d5b3349fb0a7ebd004
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spelling	oai:doaj.org-article:6190b40c49e244d5b3349fb0a7ebd0042021-11-15T01:20:08ZSpeed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms2042-319510.1155/2021/5538296https://doaj.org/article/6190b40c49e244d5b3349fb0a7ebd0042021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5538296https://doaj.org/toc/2042-3195Recent advancements in computer science include some optimization models that have been developed and used in real applications. Some metaheuristic search/optimization algorithms have been tested to obtain optimal solutions to speed controller applications in self-driving cars. Some metaheuristic algorithms are based on social behaviour, resulting in several search models, functions, and parameters, and thus algorithm-specific strengths and weaknesses. The present paper proposes a fitness function on the basis of the mathematical description of proportional integrative derivate controllers showing that mean square error is not always the best measure when looking for a solution to the problem. The fitness developed in this paper contains features and equations from the mathematical background of proportional integrative derivative controllers to calculate the best performance of the system. Such results are applied to quantitatively evaluate the performance of twenty-one optimization algorithms. Furthermore, improved versions of the fitness function are considered, in order to investigate which aspects are enhanced by applying the optimization algorithms. Results show that the right fitness function is a key point to get a good performance, regardless of the chosen algorithm. The aim of this paper is to present a novel objective function to carry out optimizations of the gains of a PID controller, using several computational intelligence techniques to perform the optimizations. The result of these optimizations will demonstrate the improved efficiency of the selected control schema.Luis Fernando de Mingo LópezFrancisco Serradilla GarcíaJosé Eugenio Naranjo HernándezNuria Gómez BlasHindawi-WileyarticleTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENJournal of Advanced Transportation, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
spellingShingle	Transportation engineering TA1001-1280 Transportation and communications HE1-9990 Luis Fernando de Mingo López Francisco Serradilla García José Eugenio Naranjo Hernández Nuria Gómez Blas Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms
description	Recent advancements in computer science include some optimization models that have been developed and used in real applications. Some metaheuristic search/optimization algorithms have been tested to obtain optimal solutions to speed controller applications in self-driving cars. Some metaheuristic algorithms are based on social behaviour, resulting in several search models, functions, and parameters, and thus algorithm-specific strengths and weaknesses. The present paper proposes a fitness function on the basis of the mathematical description of proportional integrative derivate controllers showing that mean square error is not always the best measure when looking for a solution to the problem. The fitness developed in this paper contains features and equations from the mathematical background of proportional integrative derivative controllers to calculate the best performance of the system. Such results are applied to quantitatively evaluate the performance of twenty-one optimization algorithms. Furthermore, improved versions of the fitness function are considered, in order to investigate which aspects are enhanced by applying the optimization algorithms. Results show that the right fitness function is a key point to get a good performance, regardless of the chosen algorithm. The aim of this paper is to present a novel objective function to carry out optimizations of the gains of a PID controller, using several computational intelligence techniques to perform the optimizations. The result of these optimizations will demonstrate the improved efficiency of the selected control schema.
format	article
author	Luis Fernando de Mingo López Francisco Serradilla García José Eugenio Naranjo Hernández Nuria Gómez Blas
author_facet	Luis Fernando de Mingo López Francisco Serradilla García José Eugenio Naranjo Hernández Nuria Gómez Blas
author_sort	Luis Fernando de Mingo López
title	Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms
title_short	Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms
title_full	Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms
title_fullStr	Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms
title_full_unstemmed	Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms
title_sort	speed proportional integrative derivative controller: optimization functions in metaheuristic algorithms
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/6190b40c49e244d5b3349fb0a7ebd004
work_keys_str_mv	AT luisfernandodemingolopez speedproportionalintegrativederivativecontrolleroptimizationfunctionsinmetaheuristicalgorithms AT franciscoserradillagarcia speedproportionalintegrativederivativecontrolleroptimizationfunctionsinmetaheuristicalgorithms AT joseeugenionaranjohernandez speedproportionalintegrativederivativecontrolleroptimizationfunctionsinmetaheuristicalgorithms AT nuriagomezblas speedproportionalintegrativederivativecontrolleroptimizationfunctionsinmetaheuristicalgorithms
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Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms

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