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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122450


    Title: PSO-based algorithm applied to quadcopter micro air vehicle controller design
    Authors: Tran, HK;Chiou, JS
    Keywords: particle swarm optimization (PSO)-based;evolutionary programming (EP);integral of the squared error (ISE);micro air vehicle (MAV)
    Date: 2016-09-15
    Issue Date: 2022-03-09 12:10:27 (UTC+8)
    Abstract: Due to the rapid development of science and technology in recent times, many effective controllers are designed and applied successfully to complicated systems. The significant task of controller design is to determine optimized control gains in a short period of time. With this purpose in mind, a combination of the particle swarm optimization (PSO)-based algorithm and the evolutionary programming (EP) algorithm is introduced in this article. The benefit of this integration algorithm is the creation of new best-parameters for control design schemes. The proposed controller designs are then demonstrated to have the best performance for nonlinear micro air vehicle models.
    Relation: Micromachines 7(9), 168
    DOI: 10.3390/mi7090168
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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