Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24143
Title: Studies On Performance Enhancement Of Brushless Dc Motor Drives Using Artificial Intelligence Techniques
Researcher: Kaliappan E
Guide(s): Chellamuthu C
Keywords: Artificial Intelligence
Brushless
Dc Motor Drives
Genetic algorithm
optimal tuning
Upload Date: 27-Aug-2014
University: Anna University
Completed Date: n.d.
Abstract: The recent rapid proliferation of motor drives in the automobile newlineindustry with the new hybrid technology has created a great demand for newlineefficient variable speed motor drives with longterm stability and good newlinetransient performance in the adjustable speed drives newlineA Brushless DC BLDC motor is a good choice for this type of newlinedrives A BLDC motor looks exactly similar to a DC motor with an newlineelectronically controlled commutation system instead of the mechanical newlinecommutation When the motor drive is used in variable speed applications newlinethe speed of the drive is seriously affected by the unknown load newlinecharacteristics and sudden variation of parameters As the BLDC motor drives newlineare non linear in nature they require an improved or modified controller that newlinecan adapt to the nonlinear situation and achieve the desired performance newlineThe BLDC motor drive is operated with sensors or without sensors newlineThe sensorless controlled BLDC motor drive is widely used as it reduces the newlinecost and size of the drive A simplified simulation model was developed for newlinethe BLDC motor drive with hall sensors and extended to the sensorless speed newlinecontrol technique A detailed analysis carried out on the sensorless controlled newlineBLDC motor under different operating conditions showed that the sensorless newlinemodel can be further used in the study of the proposed Artificial intelligence newlinecontroller for BLDC motor drives The PI controller showed improvement in newlinethe performance only in the designed case but it gave poor performance newlineunder other operating conditions Hence the PI controller requires optimal newlinetuning for improving the performance of the drive newlineThe Genetic algorithm based tuning of the gains of the PI controller newlinewas carried out to further improve the performance of the drive The Genetic newlinealgorithm tuned PI controller showed good improvement in the performance newlinewhen compared with the results obtained from the trial and error method The newlineresults also showed that the PI controller requires automatic tuning of the newlinegains of the controller newline newline
Pagination: xix, 167p
URI: http://hdl.handle.net/10603/24143
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File2.75 MBAdobe PDFView/Open
02_certificate.pdf59.11 kBAdobe PDFView/Open
03_abstract.pdf59.11 kBAdobe PDFView/Open
04_acknowledgement.pdf61.5 kBAdobe PDFView/Open
05_contents.pdf142.24 kBAdobe PDFView/Open
06_chapter 1.pdf805.11 kBAdobe PDFView/Open
07_chapter 2.pdf9.65 MBAdobe PDFView/Open
08_chapter 3.pdf11.67 MBAdobe PDFView/Open
09_chapter 4.pdf1.9 MBAdobe PDFView/Open
10_chapter 5.pdf3.81 MBAdobe PDFView/Open
11_chapter 6.pdf3.17 MBAdobe PDFView/Open
12_chapter 7.pdf75.27 kBAdobe PDFView/Open
13_references.pdf103.29 kBAdobe PDFView/Open
14_publications.pdf78.59 kBAdobe PDFView/Open
15_vitae.pdf51.93 kBAdobe PDFView/Open


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