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    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

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