Tilt-fractional order proportional integral derivative control for DC motor using particle swarm optimization

Introduction. Recently, the most desired goal in DC motor control is to achieve a good robustness and tracking dynamic of the set-point reference speed of the feedback control system. Problem. The used model should be as general as possible and consistently represent systems heterogeneous (which may...

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Main Authors: T. Amieur, D. Taibi, S. Kahla, M. Bechouat, M. Sedraoui
Format: Article
Language:English
Published: National Technical University "Kharkiv Polytechnic Institute" 2023-03-01
Series:Electrical engineering & Electromechanics
Subjects:
Online Access:http://eie.khpi.edu.ua/article/view/259730/269209
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author T. Amieur
D. Taibi
S. Kahla
M. Bechouat
M. Sedraoui
author_facet T. Amieur
D. Taibi
S. Kahla
M. Bechouat
M. Sedraoui
author_sort T. Amieur
collection DOAJ
description Introduction. Recently, the most desired goal in DC motor control is to achieve a good robustness and tracking dynamic of the set-point reference speed of the feedback control system. Problem. The used model should be as general as possible and consistently represent systems heterogeneous (which may contain electrical, mechanical, thermal, magnetic and so on). Goal. In this paper, the robust tilt-fractional order proportional integral derivative control is proposed. The objective is to optimize the controller parameters from solving the criterion integral time absolute error by particle swarm optimization. The control strategy is applied on DC motor to validate the efficiency of the proposed idea. Methods. The proposed control technique is applied on DC motor where its dynamic behavior is modeled by external disturbances and measurement noises. Novelty. The proposed control strategy, the synthesized robust tilt-fractional order proportional integral derivative speed controller is applied on the DC motor. Their performance and robustness are compared to those provided by a proportional integral derivative and fractional order proportional integral derivative controllers. Results. This comparison reveals superiority of the proposed robust tilt-fractional order proportional integral derivative speed controller over the remaining controllers in terms of robustness and tracking dynamic of the set-point reference speed with reduced control energy.
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spelling doaj.art-ce82cff1fc5c4c80a445c8c239d59e2d2023-03-12T08:34:59ZengNational Technical University "Kharkiv Polytechnic Institute"Electrical engineering & Electromechanics2074-272X2309-34042023-03-012141910.20998/2074-272X.2023.2.03Tilt-fractional order proportional integral derivative control for DC motor using particle swarm optimizationT. Amieur0https://orcid.org/0000-0003-0870-5446D. Taibi1https://orcid.org/0000-0003-1279-2845S. Kahla2https://orcid.org/0000-0002-7596-3739M. Bechouat3https://orcid.org/0000-0002-0434-4324M. Sedraoui4https://orcid.org/0000-0002-4590-2249Echahid Cheikh Larbi Tebessi University-Tebessa, AlgeriaKasdi Merbah University-Ouargla, AlgeriaA Research Center in Industrial Technologies (CRTI), AlgeriaUniversity of Ghardaia, AlgeriaUniversity 8 May 1945 Guelma, AlgeriaIntroduction. Recently, the most desired goal in DC motor control is to achieve a good robustness and tracking dynamic of the set-point reference speed of the feedback control system. Problem. The used model should be as general as possible and consistently represent systems heterogeneous (which may contain electrical, mechanical, thermal, magnetic and so on). Goal. In this paper, the robust tilt-fractional order proportional integral derivative control is proposed. The objective is to optimize the controller parameters from solving the criterion integral time absolute error by particle swarm optimization. The control strategy is applied on DC motor to validate the efficiency of the proposed idea. Methods. The proposed control technique is applied on DC motor where its dynamic behavior is modeled by external disturbances and measurement noises. Novelty. The proposed control strategy, the synthesized robust tilt-fractional order proportional integral derivative speed controller is applied on the DC motor. Their performance and robustness are compared to those provided by a proportional integral derivative and fractional order proportional integral derivative controllers. Results. This comparison reveals superiority of the proposed robust tilt-fractional order proportional integral derivative speed controller over the remaining controllers in terms of robustness and tracking dynamic of the set-point reference speed with reduced control energy. http://eie.khpi.edu.ua/article/view/259730/269209dc motorspeed controlfractional order proportional integral derivativeparticle swarm optimization
spellingShingle T. Amieur
D. Taibi
S. Kahla
M. Bechouat
M. Sedraoui
Tilt-fractional order proportional integral derivative control for DC motor using particle swarm optimization
Electrical engineering & Electromechanics
dc motor
speed control
fractional order proportional integral derivative
particle swarm optimization
title Tilt-fractional order proportional integral derivative control for DC motor using particle swarm optimization
title_full Tilt-fractional order proportional integral derivative control for DC motor using particle swarm optimization
title_fullStr Tilt-fractional order proportional integral derivative control for DC motor using particle swarm optimization
title_full_unstemmed Tilt-fractional order proportional integral derivative control for DC motor using particle swarm optimization
title_short Tilt-fractional order proportional integral derivative control for DC motor using particle swarm optimization
title_sort tilt fractional order proportional integral derivative control for dc motor using particle swarm optimization
topic dc motor
speed control
fractional order proportional integral derivative
particle swarm optimization
url http://eie.khpi.edu.ua/article/view/259730/269209
work_keys_str_mv AT tamieur tiltfractionalorderproportionalintegralderivativecontrolfordcmotorusingparticleswarmoptimization
AT dtaibi tiltfractionalorderproportionalintegralderivativecontrolfordcmotorusingparticleswarmoptimization
AT skahla tiltfractionalorderproportionalintegralderivativecontrolfordcmotorusingparticleswarmoptimization
AT mbechouat tiltfractionalorderproportionalintegralderivativecontrolfordcmotorusingparticleswarmoptimization
AT msedraoui tiltfractionalorderproportionalintegralderivativecontrolfordcmotorusingparticleswarmoptimization