中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/44790
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 80990/80990 (100%)
Visitors : 41866078      Online Users : 2532
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU 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://ir.lib.ncu.edu.tw/handle/987654321/44790


    Title: 應用於模組化輕型電動車之類神經網路控制六相永磁同步馬達驅動系統;DSP-Based Neural Network Control of Six-Phase PMSM Drive for Modularized LEV
    Authors: 黃治瑋;Jhih-Wei Huang
    Contributors: 電機工程研究所
    Keywords: 數位訊號處理器;輕型電動車;類神經網路;六相永磁同步馬達;Light Electric Vehicle;Digital Signal Processor;Six-Phase Permanent
    Date: 2010-08-27
    Issue Date: 2010-12-09 13:55:27 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本論文的目的是發展一個以數位訊號處理器為基礎之類神經網路 控制模組化輕型電動車之六相永磁同步馬達驅動系統。首先,介紹模 組化輕型電動車的概念,再來介紹包含不確定項之輕型電動車和六相 永磁同步馬達的動態。接著利用一個32位元的定點運算數位訊號處理 器(TMS320F2812)來實現本論文所提出的控制器及控制一六相馬達驅 動器。由於包含滾動阻力、空氣阻力、參數變化、外力干擾和摩擦力 的負載轉矩會影響控制的準確性,因此本論文提出具有線上學習能力 以及良好的強健性的Elman類神經網路控制器與機率模糊類神經網路 控制器兩種智慧型控制器,來達到輕型電動車應用所需求高的控制效 能。最後,根據實驗結果來驗證本論文提出的模組化輕型電動車之六 相永磁同步馬達驅動系統之性能。The purpose of this thesis is to develop a digital signal processor (DSP)-based neural network controlled in-wheel motor system using a six-phase permanent magnet synchronous motor (PMSM) drive for modularized light electric vehicle (LEV). First, the concept of modularized LEV is introduced. Then, the dynamics of modularized LEV and six-phase PMSM drive system with a lumped uncertainty are briefly introduced. Next, a 32-bit fix-point DSP, TMS320F2812, is adopted for the implementation of the proposed control system and to control a six-phase PMSM drive. Moreover, the control accuracy is much influenced by the load torque form the rolling resistance, the air drag, the parameter variations, the external disturbances, and the friction force. Therefore, two intelligent controllers, Elman neural network control (ENN) and probabilistic fuzzy neural network (PFNN) controller with on-line learning capability and robust control characteristics, are proposed to achieve the required high control performance of LEV. Finally, some experimental results are illustrated to show the validity of the proposed control schemes of six-phase PMSM drive system for modularized LEV.
    Appears in Collections:[Graduate Institute of Electrical Engineering] Electronic Thesis & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML783View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明