Performance analysis and enhancement of brain emotion-based intelligent controller and its impact on PMBLDC motor drive for electric vehicle applications.
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| Title: | Performance analysis and enhancement of brain emotion-based intelligent controller and its impact on PMBLDC motor drive for electric vehicle applications. |
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| Authors: | Balan, Gunapriya1 (AUTHOR) gunapriya1978@gmail.com, Sundararajan, Suma Christal Mary2 (AUTHOR), Arumugam, Singaravelan1 (AUTHOR), Manoharan, Mathankumar3 (AUTHOR), Muthukrishnan, Karthik4 (AUTHOR), Muthusamy, Suresh5 (AUTHOR) infostosuresh@gmail.com, Panchal, Hitesh6 (AUTHOR) engineerhitesh2000@gmail.com, Varadharaj, Kumaresan7 (AUTHOR), Sadasivuni, Kishor Kumar8 (AUTHOR), Jayakumar, Santhakumar9 (AUTHOR) |
| Source: | Energy Sources Part A: Recovery, Utilization & Environmental Effects. 2022, Vol. 44 Issue 3, p5640-5664. 25p. |
| Subject Terms: | Intelligent control systems, Motor vehicle driving, Field programmable gate arrays, Pulse width modulation, Computer monitors |
| Abstract: | Growing awareness of electric vehicles insists on the necessity of Permanent Magnet Brushless Direct Current Motor (PMBLDCM) worldwide. This paper involves building a simulation model of the complete PMBLDCM drive system using Matlab/Simulink to control the speed and Torque. Using the Simulink model, speed parameters with various controllers of the drive system are studied and analyzed. The conventional PI controller is capable of controlling the speed of the PMBLDC motor. H1owever, it cannot give assurance of the stability of the motor throughout the load variation. In a speed loop, Improved Brain Emotional Learning Based Intelligent Controller (IBELBIC) is proposed in this paper. The proposed IBELBIC-based PMBLDC motor drive system with a rating of 3 phase, 30 V, 400 W, 3000 RPM is implemented using Spartan 3 Field Programmable Gate Array (FPGA) from Xilinx. This paper presents an IBELBIC design for enhancing the speed performance of the drive system at various set speeds and different load conditions of 1.2 Nm load, 0.6 Nm load, and no load. The proposed PMBLDCM drive system is realized with the help of a Very high speed integrated circuit Hardware Description Language (VHDL) programming algorithm of digital Pulse Width Modulation (PWM) generator topology. Various test cases are evaluated under different operating conditions to demonstrate the learning capability and the applicability of the proposed controller. In this paper, simulation validation is done using hardware setup, and experimental results are monitored on a computer using a customized program developed using LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench). Instead of a Data Acquisition (DAQ) card, the Virtual Instrument Software Architecture (VISA) tool of LabVIEW software is used in this work and results in cost minimization of the experimental setup. [ABSTRACT FROM AUTHOR] |
| Copyright of Energy Sources Part A: Recovery, Utilization & Environmental Effects is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 159267033 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance analysis and enhancement of brain emotion-based intelligent controller and its impact on PMBLDC motor drive for electric vehicle applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Balan%2C+Gunapriya%22">Balan, Gunapriya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gunapriya1978@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sundararajan%2C+Suma+Christal+Mary%22">Sundararajan, Suma Christal Mary</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arumugam%2C+Singaravelan%22">Arumugam, Singaravelan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Manoharan%2C+Mathankumar%22">Manoharan, Mathankumar</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Muthukrishnan%2C+Karthik%22">Muthukrishnan, Karthik</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Muthusamy%2C+Suresh%22">Muthusamy, Suresh</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> infostosuresh@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Panchal%2C+Hitesh%22">Panchal, Hitesh</searchLink><relatesTo>6</relatesTo> (AUTHOR)<i> engineerhitesh2000@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Varadharaj%2C+Kumaresan%22">Varadharaj, Kumaresan</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sadasivuni%2C+Kishor+Kumar%22">Sadasivuni, Kishor Kumar</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jayakumar%2C+Santhakumar%22">Jayakumar, Santhakumar</searchLink><relatesTo>9</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energy+Sources+Part+A%3A+Recovery%2C+Utilization+%26+Environmental+Effects%22">Energy Sources Part A: Recovery, Utilization & Environmental Effects</searchLink>. 2022, Vol. 44 Issue 3, p5640-5664. 25p. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Intelligent+control+systems%22">Intelligent control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+vehicle+driving%22">Motor vehicle driving</searchLink><br /><searchLink fieldCode="DE" term="%22Field+programmable+gate+arrays%22">Field programmable gate arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Pulse+width+modulation%22">Pulse width modulation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+monitors%22">Computer monitors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Growing awareness of electric vehicles insists on the necessity of Permanent Magnet Brushless Direct Current Motor (PMBLDCM) worldwide. This paper involves building a simulation model of the complete PMBLDCM drive system using Matlab/Simulink to control the speed and Torque. Using the Simulink model, speed parameters with various controllers of the drive system are studied and analyzed. The conventional PI controller is capable of controlling the speed of the PMBLDC motor. H1owever, it cannot give assurance of the stability of the motor throughout the load variation. In a speed loop, Improved Brain Emotional Learning Based Intelligent Controller (IBELBIC) is proposed in this paper. The proposed IBELBIC-based PMBLDC motor drive system with a rating of 3 phase, 30 V, 400 W, 3000 RPM is implemented using Spartan 3 Field Programmable Gate Array (FPGA) from Xilinx. This paper presents an IBELBIC design for enhancing the speed performance of the drive system at various set speeds and different load conditions of 1.2 Nm load, 0.6 Nm load, and no load. The proposed PMBLDCM drive system is realized with the help of a Very high speed integrated circuit Hardware Description Language (VHDL) programming algorithm of digital Pulse Width Modulation (PWM) generator topology. Various test cases are evaluated under different operating conditions to demonstrate the learning capability and the applicability of the proposed controller. In this paper, simulation validation is done using hardware setup, and experimental results are monitored on a computer using a customized program developed using LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench). Instead of a Data Acquisition (DAQ) card, the Virtual Instrument Software Architecture (VISA) tool of LabVIEW software is used in this work and results in cost minimization of the experimental setup. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energy Sources Part A: Recovery, Utilization & Environmental Effects is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/15567036.2022.2027578 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 5640 Subjects: – SubjectFull: Intelligent control systems Type: general – SubjectFull: Motor vehicle driving Type: general – SubjectFull: Field programmable gate arrays Type: general – SubjectFull: Pulse width modulation Type: general – SubjectFull: Computer monitors Type: general Titles: – TitleFull: Performance analysis and enhancement of brain emotion-based intelligent controller and its impact on PMBLDC motor drive for electric vehicle applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Balan, Gunapriya – PersonEntity: Name: NameFull: Sundararajan, Suma Christal Mary – PersonEntity: Name: NameFull: Arumugam, Singaravelan – PersonEntity: Name: NameFull: Manoharan, Mathankumar – PersonEntity: Name: NameFull: Muthukrishnan, Karthik – PersonEntity: Name: NameFull: Muthusamy, Suresh – PersonEntity: Name: NameFull: Panchal, Hitesh – PersonEntity: Name: NameFull: Varadharaj, Kumaresan – PersonEntity: Name: NameFull: Sadasivuni, Kishor Kumar – PersonEntity: Name: NameFull: Jayakumar, Santhakumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 15567036 Numbering: – Type: volume Value: 44 – Type: issue Value: 3 Titles: – TitleFull: Energy Sources Part A: Recovery, Utilization & Environmental Effects Type: main |
| ResultId | 1 |
