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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/121960

    Title: Particle swarm optimization algorithm reinforced fuzzy proportional–integral–derivative for a quadrotor attitude control
    Authors: Chiou, Juing-Shian;Tran, Huu-Khoa;Shieh, Ming-Yuan;Nguyen, Thanh-Nam
    Date: 2016-09-12
    Issue Date: 2022-01-15 12:11:40 (UTC+8)
    Abstract: In this article, the particle swarm optimization algorithm is presented using an improved stochastic variant strategy to optimize the gains of the fuzzy proportional–integral–derivative controller. The particle swarm optimization algorithm aims to renew the elite parameters for the schemes of fuzzy proportional–integral–derivative controls. The integral of time multiplied by absolute error criterion is used to estimate the system performance due to saving the setting and operation time. Facing nonlinear quadrotor attitude control models, the results demonstrate the proposed scheme with better performance.
    Relation: Advances in Mechanical Engineering
    DOI: 10.1177%2F1687814016668705
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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