Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/257961
Title: Automatic identification of controller gain in non ideal boost DC to DC converter using soft computing techniques
Researcher: Sivanandakumar D
Guide(s): Sivalingam A
Keywords: Controller Gain
DC to DC Converter
Engineering and Technology,Engineering,Engineering Multidisciplinary
Non-Ideal Boost
Soft Computing Techniques
University: Anna University
Completed Date: 2018
Abstract: Electrical energy becomes an essential component in many part of the engineering discipline as it facilitates the technology in the power conditioning electronic converters. During the past few decades, vast development in high power capability of electronics devices, sensitive controllers and mathematical analysis of circuit models enhances the utilization of power conditioning electronic converters in major areas for real world applications. The main aim of exploiting power conditioning newlineelectronics converter is to provide qualitatively and quantitatively desired energy level for the precise applications. Power conditioning electronics converter is classified as Inverter, DC to DC converter and Rectifier. Among these, DC to DC converter is the most widely used converter. It consists of two major parts such as power switching circuit and the control circuit which interacts together to produce desired voltage level. Basically, a boost type DC to DC converter is used to step up the low input voltage of the converter to the precise desired voltage level. In this type of converter, the design of feedback controller plays a major role to maintain the desired voltage level with fast dynamic response. The problem of designing a feedback controller to the converter motivates this research to obtain an optimal controller. Finally, the solution for the present research problem is approached by a newlinepopular evolutionary optimization method in order to find the optimal control newlinegain in the controller. newline newline
Pagination: xxi, 134p.
URI: http://hdl.handle.net/10603/257961
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdfAttached File18.73 kBAdobe PDFView/Open
02_certificates.pdf1.42 MBAdobe PDFView/Open
03_abstract.pdf106.38 kBAdobe PDFView/Open
04_acknowledgement.pdf83.86 kBAdobe PDFView/Open
05_table_of_contents.pdf3.34 MBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf166.28 kBAdobe PDFView/Open
07_chapter1.pdf292.64 kBAdobe PDFView/Open
08_chapter2.pdf1.29 MBAdobe PDFView/Open
09_chapter3.pdf1.04 MBAdobe PDFView/Open
10_chapter4.pdf160.5 kBAdobe PDFView/Open
11_chapter5.pdf1.01 MBAdobe PDFView/Open
12_chapter6.pdf976.62 kBAdobe PDFView/Open
13_chapter7.pdf996.47 kBAdobe PDFView/Open
14_conclusion.pdf101.75 kBAdobe PDFView/Open
15_references.pdf1.01 MBAdobe PDFView/Open
16_list_of_publications.pdf136.8 kBAdobe PDFView/Open


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