• Title/Summary/Keyword: 지능형 디밍 컨버터

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A Study on Dimming Control of Fluorescent Lamp with the Aid of Fuzzy Inference Method (퍼지추론방법에 의한 형광등의 디밍 제어에 대한 연구)

  • Baek, Jin-Yeol;Lee, In-Tae;Oh, Sung-Kwun;Jang, Seong-Whan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.4
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    • pp.911-917
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    • 2008
  • In this paper. we introduce and investigate new architectures and comprehensive design methodologies of intelligent dimming converter and evaluate the proposed model and the system through a series of numeric experiments. The intelligent dimming converter is developed by using the regression polynomial fuzzy model. In this paper, we put emphasis on the design of electronic ballast based on intelligent dimming converter and the energy saving according to the day-light and the user setting by applying the intelligent model to a fluorescent lamp. We show the superiority of the proposed intelligent dimming converter through the evaluation of performance with conventional electronic ballast by applying the intelligent model to real systems.

A Study on Intelligent Dimming Converter of Fluorescent Lamp (형광등의 지능형 Dimming Converter에 대한 연구)

  • Choi, Jeong-Nae;Back, Jin-Yeol;Oh, Sung-Kwun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.4
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    • pp.540-545
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    • 2007
  • In this thesis, we introduce and investigate new architectures and comprehensive design methodologies of intelligent dimming converter and evaluate the proposed model and the system through a series of numeric experiments. Electronic ballast enable prolongation of life foy Fluorescent-Lamp and ballast. However, There are no merit in case that user impossible manual control. Therefore in this paper, we put emphasis on the design of electronic ballast based on intelligent dimming converter and the energy saving according to the day-light and the user settings by applying the intelligent model to a fluorescent lamp. Also, we show the superiority of the proposed Intelligent dimming converter through the evaluation of performance with conventional electronic ballast by applying the intelligent model to hardware of systems.