English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57042/90725 (63%)
Visitors : 12449604      Online Users : 125
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/987654321/52808

    Title: Optimal PID Controller Design for AVR System
    Authors: Wong, Ching-Chang;Li, Shih-An;Wang, Hou-Yi
    Contributors: 淡江大學電機工程學系
    Keywords: PID Controller;Genetic Algorithms;Particle Swarm Optimization;Automatic Voltage Regulator(AVR)
    Date: 2009-09-01
    Issue Date: 2010-12-01 10:33:56 (UTC+8)
    Publisher: 臺北縣:淡江大學
    Abstract: In this paper, a real-valued genetic algorithm (RGA) and a particle swarm optimization (PSO) algorithm with a new fitness function method are proposed to design a PID controller for the Automatic Voltage Regulator (AVR) system. The proposed fitness function can let the RGA and PSO algorithm search a high-quality solution effectively and improve the transient response of the controlled system. The proposed algorithms are applied in the PID controller design for the AVR system. Some simulation and comparison results are presented.We can see that the proposed RGA and PSO algorithm with this new fitness function can find a PID control parameter set effectively so that the controlled AVR system has a better control performance.
    Relation: 淡江理工學刊=Tamkang Journal of Science and Engineering 12(3), pp.259-270
    DOI: 10.6180/jase.2009.12.3.05
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

    Files in This Item:

    File SizeFormat
    1560-6686_12-3-5.pdf4168KbAdobe PDF1511View/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