Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage

In this paper, an intelligent tracking control system of both single- and double-axis Piezoelectric Micropositioner stage is designed using Genetic Algorithms (GAs) method for the optimal Proportional-Integral-Derivative (PID) controller tuning parameters. The (GA)-based PID control design approac...

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Autor principal:	Yasir Khudhair Abbas
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2012
Materias:	Piezoelectric Micropositioner Genetic Algorithms PID Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/1fa3f01fdcf340f993a3f60fea709c5d
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spelling	oai:doaj.org-article:1fa3f01fdcf340f993a3f60fea709c5d2021-12-02T03:16:16ZGenetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage1818-11712312-0789https://doaj.org/article/1fa3f01fdcf340f993a3f60fea709c5d2012-12-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/146https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 In this paper, an intelligent tracking control system of both single- and double-axis Piezoelectric Micropositioner stage is designed using Genetic Algorithms (GAs) method for the optimal Proportional-Integral-Derivative (PID) controller tuning parameters. The (GA)-based PID control design approach is a methodology to tune a (PID) controller in an optimal control sense with respect to specified objective function. By using the (GA)-based PID control approach, the high-performance trajectory tracking responses of the Piezoelectric Micropositioner stage can be obtained. The (GA) code was built and the simulation results were obtained using MATLAB environment. The Piezoelectric Micropositioner simulation model with the (GA)-based PID control is illustrated to show the validity of the proposed control method for practical applications, such as scanning microscopy. Yasir Khudhair AbbasAl-Khwarizmi College of Engineering – University of BaghdadarticlePiezoelectricMicropositionerGenetic AlgorithmsPIDChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 8, Iss 4 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Piezoelectric Micropositioner Genetic Algorithms PID Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Piezoelectric Micropositioner Genetic Algorithms PID Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Yasir Khudhair Abbas Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage
description	In this paper, an intelligent tracking control system of both single- and double-axis Piezoelectric Micropositioner stage is designed using Genetic Algorithms (GAs) method for the optimal Proportional-Integral-Derivative (PID) controller tuning parameters. The (GA)-based PID control design approach is a methodology to tune a (PID) controller in an optimal control sense with respect to specified objective function. By using the (GA)-based PID control approach, the high-performance trajectory tracking responses of the Piezoelectric Micropositioner stage can be obtained. The (GA) code was built and the simulation results were obtained using MATLAB environment. The Piezoelectric Micropositioner simulation model with the (GA)-based PID control is illustrated to show the validity of the proposed control method for practical applications, such as scanning microscopy.
format	article
author	Yasir Khudhair Abbas
author_facet	Yasir Khudhair Abbas
author_sort	Yasir Khudhair Abbas
title	Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage
title_short	Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage
title_full	Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage
title_fullStr	Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage
title_full_unstemmed	Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage
title_sort	genetic algorithm based pid controller design for a precise tracking of two-axis piezoelectric micropositioning stage
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2012
url	https://doaj.org/article/1fa3f01fdcf340f993a3f60fea709c5d
work_keys_str_mv	AT yasirkhudhairabbas geneticalgorithmbasedpidcontrollerdesignforaprecisetrackingoftwoaxispiezoelectricmicropositioningstage
_version_	1718401840836509696

Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage

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