A study on performance improvement Of switched reluctance motor using Soft computing techniques

dc.contributor.guideKalaivani, L
dc.coverage.spatialA study on performance improvement Of switched reluctance motor using Soft computing techniques
dc.creator.researcherManjula, A
dc.date.accessioned2023-03-09T06:42:02Z
dc.date.available2023-03-09T06:42:02Z
dc.date.awarded2022
dc.date.completed2022
dc.date.registered
dc.description.abstractIn the recent development of the control and power electronics field, newlinean SRM has drawn a significant role in industries. SRM drive has many newlinebeneficial characteristics when comparing to those conservative sinusoidal newlinemachines. For industry automation, SRM drives play a vital role as prominent newlineelectrical drives. As SRM does not have rotor winding, and permanent magnets, newlineits structure becomes simple, and it has many distinct characteristics such as newlineminimized cost, robustness, high fault-tolerant capability, and it can be operated newlineunder any sensitive environments. Electromagnetic torque is produced based on newlinethe theory of variable reluctance. Nevertheless, the primary setback is the higher newlinetorque ripple, which leads to severe acoustic noise and vibrations. Therefore, the newlinestrategy of minimizing the torque ripple in SRM becomes a most contributive newlineresearch in the field of industry. newlineIn the modern era, two emerging technologies are in practice to newlineenhance the average torque of the drive. One approach is to renovate the stator newlineand rotor arrangement by developing the mechanical consideration of the motor, newlinewhereas the next one is to exploit the robust control mechanism which is based newlineon obtaining a suitable grouping of the Optimum Parameters. A proper current newlinemodulation technique for the inverter is normally taken care of to minimize newlinetorque ripple. newlineFor many decades, Proportional-Integral-Derivative (PID) controllers newlinehave drawn more attention in industry automation due to their ease and newlinerobustness. The parameters of the controllers are tuned by Evolutionary newlinealgorithms like genetic algorithms. The performances are further improved by newlineusing fractional order (Non-integer) controllers. In this work, a comparative newlinestudy on soft computing techniques based torque ripple minimization and speed newlinetracking of switched reluctance motor have been attempted newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm
dc.format.extentxix,158p.
dc.identifier.urihttp://hdl.handle.net/10603/467046
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.150-157
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordSwitched Reluctamce Motor
dc.subject.keywordGenetic Algorithm
dc.subject.keywordParticle Swarm Optimization
dc.titleA study on performance improvement Of switched reluctance motor using Soft computing techniques
dc.title.alternative
dc.type.degreePh.D.

Files

Original bundle

Now showing 1 - 5 of 12
Loading...
Thumbnail Image
Name:
01_title.pdf
Size:
25.46 KB
Format:
Adobe Portable Document Format
Description:
Attached File
Loading...
Thumbnail Image
Name:
02_prelim pages.pdf
Size:
2.04 MB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
03_content.pdf
Size:
283.93 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
04_abstract.pdf
Size:
271.36 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
05_chapter 1.pdf
Size:
472.17 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.79 KB
Format:
Plain Text
Description: