Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller

In this paper, intelligent control of a reluctance synchronous motor by an emotional controller, considering the effect of magnetic saturation on implementation, is analyzed; the maximum torque per ampere (MTPA) strategy is provided. According to the application of the proposed control scheme, the s...

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Autores principales:	Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Ilhami Colak, Kei Eguchi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	intelligent control reluctance synchronous motor emotional controller maximum torque per ampere magnetic saturation Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/a8c76e4c516a4d6c8191ebfb2629f0e9
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id	oai:doaj.org-article:a8c76e4c516a4d6c8191ebfb2629f0e9
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spelling	oai:doaj.org-article:a8c76e4c516a4d6c8191ebfb2629f0e92021-11-11T15:37:25ZPerformance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller10.3390/electronics102125952079-9292https://doaj.org/article/a8c76e4c516a4d6c8191ebfb2629f0e92021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2595https://doaj.org/toc/2079-9292In this paper, intelligent control of a reluctance synchronous motor by an emotional controller, considering the effect of magnetic saturation on implementation, is analyzed; the maximum torque per ampere (MTPA) strategy is provided. According to the application of the proposed control scheme, the structure adequately performs the control of speed and magnetic flux of the reluctance synchronous motor drive. Additionally, the application of intelligent control based on an emotional learning system has provided adequate results to create a proper control process. The control function of a SynRM drive based on vector control in a rotor machine was compared with another based on emotional controllers and a PI controller regulated by genetic algorithms. The result of this comparison was the improvement of control functions by the controller based on the emotional controller. In addition, the MTPA based on search algorithms was well implemented in different situations. Due to its simplicity and independence from system parameters, the emotional controller can be considered as a potential operational method in the industry.Mehrdad Ahmadi KamarposhtiHassan ShokouhandehIlhami ColakKei EguchiMDPI AGarticleintelligent controlreluctance synchronous motoremotional controllermaximum torque per amperemagnetic saturationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2595, p 2595 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	intelligent control reluctance synchronous motor emotional controller maximum torque per ampere magnetic saturation Electronics TK7800-8360
spellingShingle	intelligent control reluctance synchronous motor emotional controller maximum torque per ampere magnetic saturation Electronics TK7800-8360 Mehrdad Ahmadi Kamarposhti Hassan Shokouhandeh Ilhami Colak Kei Eguchi Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller
description	In this paper, intelligent control of a reluctance synchronous motor by an emotional controller, considering the effect of magnetic saturation on implementation, is analyzed; the maximum torque per ampere (MTPA) strategy is provided. According to the application of the proposed control scheme, the structure adequately performs the control of speed and magnetic flux of the reluctance synchronous motor drive. Additionally, the application of intelligent control based on an emotional learning system has provided adequate results to create a proper control process. The control function of a SynRM drive based on vector control in a rotor machine was compared with another based on emotional controllers and a PI controller regulated by genetic algorithms. The result of this comparison was the improvement of control functions by the controller based on the emotional controller. In addition, the MTPA based on search algorithms was well implemented in different situations. Due to its simplicity and independence from system parameters, the emotional controller can be considered as a potential operational method in the industry.
format	article
author	Mehrdad Ahmadi Kamarposhti Hassan Shokouhandeh Ilhami Colak Kei Eguchi
author_facet	Mehrdad Ahmadi Kamarposhti Hassan Shokouhandeh Ilhami Colak Kei Eguchi
author_sort	Mehrdad Ahmadi Kamarposhti
title	Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller
title_short	Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller
title_full	Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller
title_fullStr	Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller
title_full_unstemmed	Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller
title_sort	performance improvement of reluctance synchronous motor using brain emotional learning based intelligent controller
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a8c76e4c516a4d6c8191ebfb2629f0e9
work_keys_str_mv	AT mehrdadahmadikamarposhti performanceimprovementofreluctancesynchronousmotorusingbrainemotionallearningbasedintelligentcontroller AT hassanshokouhandeh performanceimprovementofreluctancesynchronousmotorusingbrainemotionallearningbasedintelligentcontroller AT ilhamicolak performanceimprovementofreluctancesynchronousmotorusingbrainemotionallearningbasedintelligentcontroller AT keieguchi performanceimprovementofreluctancesynchronousmotorusingbrainemotionallearningbasedintelligentcontroller
_version_	1718434877966123008

Performance Improvement of Reluctance Synchronous Motor Using Brain Emotional Learning Based Intelligent Controller

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