淡江大學機構典藏:Item 987654321/99868
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62830/95882 (66%)
造访人次 : 4035091      在线人数 : 850
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/99868


    题名: Intelligent second-order sliding-mode control with dead-zone parameter modification for a DC motor driver
    作者: Hsu, Chun-Fei
    贡献者: 淡江大學電機工程學系
    日期: 2014-07-17
    上传时间: 2015-01-05 09:14:47 (UTC+8)
    出版者: Stevenage: The Institution of Engineering and Technology
    摘要: A functional-linked cerebellar model neural network (FCMNN) equipped with sine–cosine perturbed Gaussian basis functions to online approximate an unknown nonlinear term in the system dynamics of a DC motor driver is proposed in this study. The sine–cosine perturbation in the Gaussian basis functions possessing the ability of handling rule uncertainties is quite useful for real-time applications. Then, an intelligent total sliding-mode control (ITSMC) system that is composed of a computation controller and a robust compensator is proposed. The computation controller including an FCMNN approximator is the main controller and the robust compensator is designed to eliminate the effect of the approximation error introduced by the FCMNN approximator upon system stability. The online parameter adaptation laws are derived based on a Lyapunov function so that the L 2 tracking performance can be guaranteed. To reduce the parameter overtraining problem, a dead-zone parameter modification scheme is adopted so that the parameter tuning process will be stopped when a tracking index is smaller than a pre-specified threshold. Finally, the proposed ITSMC system is implemented on a 32-bit microcontroller for possible low-cost and high-performance industrial applications. The experimental results show that the ITSMC system can achieve favourable tracking performance and is robust against parameter variations in the plant.
    關聯: IET Control Theory&Applications 8(11), pp.916-926
    DOI: 10.1049/iet-cta.2013.0667
    显示于类别:[電機工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML237检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

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