淡江大學機構典藏:Item 987654321/127290
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/127290


    Title: Continuous Genetic Algorithm Aiding to Quadcopter Controller Design
    Authors: Tran Huu Khoa, Tran Thanh Trang
    Keywords: Continuous GA;PID;ISE;Quadcopter
    Date: 2017-11-11
    Issue Date: 2025-04-21 12:05:45 (UTC+8)
    Publisher: Springer
    Abstract: The practicability of the continuous Genetic Algorithm (GA) is exploited to optimize the Proportional Integral Derivative (PID) controller gains, in this paper. By minimize the Integral of Square Error (ISE) fitness function of the control performance, the advantages of the continuous GA, such as create and update the new and contiguous parameters, are presented. The proposed controller design is then implemented to Quadcopter models to illustrate the better performances in shortly saving operation time.
    Relation: AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application 465, P.571-579
    DOI: 10.1007/978-3-319-69814-4_54
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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