Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm

This paper investigates a sliding mode controller based on quantum particle swarm optimization algorithm (QPSO) to solve the nonlinearity of electro-hydraulic servo systems, external disturbance problems, and jitter of sliding mode controller. The electro-hydraulic servo system state space equations...

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Autores principales:	Xinyu Zheng, Xiaoyu Su
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	electro-hydraulic servo system sliding mode controller ITAE metric quantum particle swarm optimization algorithm Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/80492ce5d2004c7facec5fd2f95fe262
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id	oai:doaj.org-article:80492ce5d2004c7facec5fd2f95fe262
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spelling	oai:doaj.org-article:80492ce5d2004c7facec5fd2f95fe2622021-11-25T18:12:17ZSliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm10.3390/machines91102832075-1702https://doaj.org/article/80492ce5d2004c7facec5fd2f95fe2622021-11-01T00:00:00Zhttps://www.mdpi.com/2075-1702/9/11/283https://doaj.org/toc/2075-1702This paper investigates a sliding mode controller based on quantum particle swarm optimization algorithm (QPSO) to solve the nonlinearity of electro-hydraulic servo systems, external disturbance problems, and jitter of sliding mode controller. The electro-hydraulic servo system state space equations are established, constructing the sliding surface according to the tracking error and obtaining the output of the sliding mode controller. The ITAE metric is used as an adaptation function of the QPSO algorithm to evaluate the parameters in the sliding mode controller, which has good engineering utility and parameter selectivity. The QPSO algorithm is used to increase the randomicity of the search and to expand the search space, which can effectively prevent falling into a local optimum solution. Finally, a comparative simulation is presented to illustrate global search performance of QPSO algorithm and the effectiveness and applicability of the proposed control method.Xinyu ZhengXiaoyu SuMDPI AGarticleelectro-hydraulic servo systemsliding mode controllerITAE metricquantum particle swarm optimization algorithmMechanical engineering and machineryTJ1-1570ENMachines, Vol 9, Iss 283, p 283 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	electro-hydraulic servo system sliding mode controller ITAE metric quantum particle swarm optimization algorithm Mechanical engineering and machinery TJ1-1570
spellingShingle	electro-hydraulic servo system sliding mode controller ITAE metric quantum particle swarm optimization algorithm Mechanical engineering and machinery TJ1-1570 Xinyu Zheng Xiaoyu Su Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm
description	This paper investigates a sliding mode controller based on quantum particle swarm optimization algorithm (QPSO) to solve the nonlinearity of electro-hydraulic servo systems, external disturbance problems, and jitter of sliding mode controller. The electro-hydraulic servo system state space equations are established, constructing the sliding surface according to the tracking error and obtaining the output of the sliding mode controller. The ITAE metric is used as an adaptation function of the QPSO algorithm to evaluate the parameters in the sliding mode controller, which has good engineering utility and parameter selectivity. The QPSO algorithm is used to increase the randomicity of the search and to expand the search space, which can effectively prevent falling into a local optimum solution. Finally, a comparative simulation is presented to illustrate global search performance of QPSO algorithm and the effectiveness and applicability of the proposed control method.
format	article
author	Xinyu Zheng Xiaoyu Su
author_facet	Xinyu Zheng Xiaoyu Su
author_sort	Xinyu Zheng
title	Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm
title_short	Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm
title_full	Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm
title_fullStr	Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm
title_full_unstemmed	Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm
title_sort	sliding mode control of electro-hydraulic servo system based on optimization of quantum particle swarm algorithm
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/80492ce5d2004c7facec5fd2f95fe262
work_keys_str_mv	AT xinyuzheng slidingmodecontrolofelectrohydraulicservosystembasedonoptimizationofquantumparticleswarmalgorithm AT xiaoyusu slidingmodecontrolofelectrohydraulicservosystembasedonoptimizationofquantumparticleswarmalgorithm
_version_	1718411506576523264

Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm

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