Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/468749
Title: A study on performance improvement of switched reluctance motor using soft computing techniques
Researcher: Manjula, A
Guide(s): Kalaivani, L
Keywords: Engineering and Technology
Computer Science
Computer Science Software Engineering
soft computing techniques
switched reluctance
motor
University: Anna University
Completed Date: 2022
Abstract: In 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
Pagination: xix,158p.
URI: http://hdl.handle.net/10603/468749
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.46 kBAdobe PDFView/Open
02_prelim pages.pdf2.09 MBAdobe PDFView/Open
03_content.pdf283.93 kBAdobe PDFView/Open
04_abstract.pdf271.36 kBAdobe PDFView/Open
05_chapter 1.pdf472.17 kBAdobe PDFView/Open
06_chapter 2.pdf1.29 MBAdobe PDFView/Open
07_chapter 3.pdf1.14 MBAdobe PDFView/Open
08_chapter 4.pdf1.1 MBAdobe PDFView/Open
09_chapter 5.pdf1.79 MBAdobe PDFView/Open
10_chapter 6.pdf1.17 MBAdobe PDFView/Open
11_annexures.pdf1.45 MBAdobe PDFView/Open
80_recommendation.pdf64.92 kBAdobe PDFView/Open
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