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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/61030


    Title: Hybrid evolutionary algorithm for PID controller design of 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 (PSO);automatic voltage regulator (AVR)
    Date: 2009
    Issue Date: 2013-07-11 11:58:28 (UTC+8)
    Publisher: Abingdon: Taylor & Francis Ltd.
    Abstract: In this paper, a Hybrid Evolutionary Algorithm (HEA) combined with the concepts of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm is proposed. Moreover, a new fitness function is proposed to let the evolutionary algorithms search for a high‐quality solution effectively and improve the transient response of the controlled system. The proposed algorithm was applied in a PID controller design for an Automatic Voltage Regulator (AVR) system. From some simulation and comparison results, we can see that the proposed new fitness function can let the optimal algorithms find a high‐quality solution effectively. Moreover, the PID controller obtained by the proposed algorithm controls the AVR system better than other methods.
    Relation: Journal of the Chinese Institute of Engineers=中國工程學刊 32(2), pp.251-264
    DOI: 10.1080/02533839.2009.9671502
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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