English  |  正體中文  |  简体中文  |  Items with full text/Total items : 52047/87178 (60%)
Visitors : 8701230      Online Users : 310
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96000

    Title: 變頻控制下馬達電源端不良電力品質之偵測與分析
    Other Titles: Analysis and Detection of Power Quality for Adjustable Speed Drivers
    Authors: 蕭瑛東;陳家宏;王仁舜
    Contributors: 淡江大學電機工程學系
    Keywords: 電力品質;量測;可調速驅動器;馬達;偵測;虛擬環境系統;Power quality;Measure;Adjustable speed driver;Motor;Diagnosiability;Virtual power system
    Date: 2004-10
    Issue Date: 2014-02-13 11:33:07 (UTC+8)
    Abstract: 本計畫針對變頻控制下馬達電源端之電力品質進行偵測與分析等相關研究工作。馬達為眾多設備動力的主要來源,近年來為了高階化的控制及節約能源之目的,大量採用變頻(Inverter)控制方式,或稱可調速驅動(Adjustable Speed Driver)控制。變頻器對不良電力品質(如突波和電壓遽降)之忍受力較馬達本身微弱,但另一方面變頻器所產生的電力品質問題如諧波,可能干擾其他電器設備。本計畫將針對此種特定負載之電力品質相關問題進行量測與分析,建立電力品質數據資料庫,發展線上即時偵測系統。本計畫第一年進行量測及記錄變頻器電源端在馬達各種運轉模式(如起動、正反轉、變速和變載等)和電源干擾(Disturbance)情況(如低電壓、高電壓和頻率改變等)下之用電特性,即電流對電壓之特性和電流、電壓及頻率對時間之特性等等。相關量測數據以統計方式歸納分析之。這些數據將供總計畫建立電力品質資料庫和下二年計畫:模擬分析電力品質之虛擬系統及電力品質事件線上即時偵測器之用。此外本年度之計畫亦設計一模糊類神經網路(Fuzzy-Neural Net)來分類或歸類電力品質事件。第二年本計畫將建立一分析電力品質之虛擬系統(Virtual EnvironmentSystem),以低成本(Low Cost)和方便使用(User Friendly)為目標。其中包括,使用者圖形交談介面、虛擬環境介面、系統模式資料庫(如切換元件(SwitchingDevice)和電力線等裝置或元件之模式)、電力品質模式資料庫(如諧波,電壓閃爍等之電力品質干擾源)及一網路分析計算模組,提供電力品質相關問題之模擬分析、系統狀態計算和波形圖示等功能,同時亦可供教和育訓練之用。第三年將發展一套以可適性(Adaptive)模糊類神經網路為基礎的電力品質事件偵測器,提供快速及準確之線上(On-line)偵測(Diagnostic)電力品質事件。提供操作者有關運轉時電力品質事件之種類及嚴重程度,以利操作者及時採取因應措施避免系統危害或致產品不良。
    The objective of this project is to develop a new technique to measurements, analysis and diagnosis on the power quality. Most of machine tools are driven by the electric motors. To achieve advanced control and energy conservation, many industrial use adjustable speed drivers (ASDs) to control the speed and/or torque of electric motors. Any power transient events such as voltage sags on the motor and load can adverse effects on operating performance. This project consists of three sub-projects for three years. In this first years, the test system will be setup to measure the electric power characteristic of ASDs under typical operating modes of motor (such as start, forward and backward operation, varying speed) and power supply disturbance mode (such as low and high voltage, varying frequency) including current to voltage as well as current, voltage and frequency to time curve. These data will be analysis by static method for building database in the general project and for the next-two-years sub-projects. Moreover, a fuzzy-neuron system is utilized to classification of power quality disturbances. The object of this project in the second years will develop the virtual power system for the power quality analysis. The virtual power system is a time domain simulation tool, which can simulate the sequence of events due to disturbances and determine the effects of a specific disturbance on specific loads. The virtual power system consists of a library of power system device models (switching devices, power line etc), a graphical user interface, a library of power quality models (harmonic sources, flicker etc) and a network solver (providing power quality analysis, state estimation and graphic generator). As to the third years of this project, the main work is to apply adaptive fuzzy technique to power quality diagnostics providing on-line analysis and diagnosis of the systems failure with fast response and accurate results.
    Relation: 國科會電力學門九十二年度研究計畫成果發表會論文集,44頁
    Appears in Collections:[電機工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    變頻控制下馬達電源端不良電力品質之偵測與分析_中文摘要.docx摘要16KbMicrosoft Word222View/Open
    變頻控制下馬達電源端不良電力品質之偵測與分析_英文摘要.docx摘要15KbMicrosoft Word45View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback