淡江大學機構典藏:Item 987654321/122447
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62830/95882 (66%)
Visitors : 4091777      Online Users : 799
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122447


    Title: Adaptive fuzzy control method for a single tilt tricopter
    Authors: Tran, HK;Chiou, JS;Nam, NT;Tuyen, V
    Keywords: Fuzzy gain scheduling (FGS);proportional integral derivative (PID) control;continuous genetic algorithm (GA);integral of time weighted-squared error (ITSE);single tilt tricopter UAV
    Date: 2019-11
    Issue Date: 2022-03-09 12:10:21 (UTC+8)
    Publisher: IEEE
    Abstract: This article proposes an adaptive fuzzy gain scheduling (FSG) design of the traditional proportional integral derivative (PID) control method by using fuzzy logic rules to schedule controlled gains at different phases. Owing to minimization of the tracking error of the controller design using three parameters and the integral of time weighted-squared error (ITSE) minima criterion of the controller design process, the fuzzy rules of the triangular membership functions are exploited online to verify the PID controller gains in different operated scheduling modes. For that reason, the controller designs can be used to tune the system models during the whole operation time period to enable efficient error tracking. The continuous genetic algorithm (GA) is considered an innovation because in it, the decode chromosome step is totally neglected. Owing to this improvement, it is superior to the standard GA because it requires less storage and enables naturally faster convergence. In this research, the controlled parameters were optimized using the continuous GA to enhance the efficiency of the proposed method. Thereafter, it was implemented to a single tilt Tricopter model to test whether the control performance is better when compared with the conventional PID control method.
    Relation: IEEE Access 7, p.161741-161747
    DOI: 10.1109/ACCESS.2019.2950895
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

    Files in This Item:

    File Description SizeFormat
    Adaptive fuzzy control method for a single tilt tricopter.pdf4135KbAdobe PDF33View/Open
    index.html0KbHTML43View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback