Fault accommodation for nonlinear systems using fuzzy adaptive sliding control

被引：12
|
作者：
Zhang, Y
Wang, F
Hesketh, T
Clements, DJ
Eaton, R
机构：
[1] Northeastern Univ, Inst Automat, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Univ New S Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2005年 / 36卷 / 04期
关键词：
D O I：
10.1080/00207720500032622
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An active fault accommodation control law is developed for a class of nonlinear systems to guarantee the closed- loop stability in the presence of a fault, based on a fuzzy logic system representation of the dynamics due to faults. It uses fuzzy logic system to approximate the dynamic caused by the fault. Through the adaptive process of the parameters, the dynamics caused by the fault is counteracted. The fuzzy sliding mode control is introduced to attenuate the fuzzy approximation error. Simultaneity, the closed- loop system is stable in Lyapunov sense and the tracking error converges to a neighbourhood of zero. The example of the proposed design indicates that the fault accommodation control law is effective for a nonlinear system.
引用
收藏
页码：215 / 220
页数：6
相关论文
共 50 条
  • [21] Adaptive fuzzy sliding mode, control for a class of unknown nonlinear systems
    Geng Feng
    Zhu Xiaoping
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 5199 - 5204
  • [22] Adaptive Fuzzy Sliding Mode Control for Uncertain Nonlinear SISO Systems
    Amieur, T.
    Sedraoui, M.
    Amieur, O.
    Djeddi, A.
    Houam, Y.
    201415TH INTERNATIONAL CONFERENCE ON SCIENCES & TECHNIQUES OF AUTOMATIC CONTROL & COMPUTER ENGINEERING (STA'2014), 2014, : 142 - 147
  • [23] Sigma adaptive fuzzy sliding mode control of a class of nonlinear systems
    Su, JP
    Huang, CT
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2000, 31 (08) : 949 - 959
  • [24] Enhanced adaptive fuzzy sliding mode control for uncertain nonlinear systems
    Roopaei, Mehdi
    Zolghadri, Mansoor
    Meshksar, Sina
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2009, 14 (9-10) : 3670 - 3681
  • [25] Indirect adaptive fuzzy control of nonlinear systems with terminal sliding modes
    Yu, SG
    Yu, XG
    Zhihong, M
    FUZZY LOGIC: FRAMEWORK FOR THE NEW MILLENNIUM, 2002, 81 : 263 - 276
  • [26] Adaptive fuzzy control of nonlinear systems based on terminal sliding mode
    Yu, Shuanghe
    INTELLIGENT CONTROL AND AUTOMATION, 2006, 344 : 474 - 479
  • [27] A new adaptive fuzzy sliding mode control for uncertain nonlinear systems
    Li, Yimin
    Cai, Yang
    ADVANCES IN MATERIALS SCIENCE-BOOK, 2011, 327 : 12 - 16
  • [28] Adaptive Fuzzy Terminal Sliding Mode Control for MIMO Nonlinear Systems
    Shi, Wuxi
    Luo, Rui
    Wang, Dongwei
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 6663 - 6668
  • [29] Fuzzy adaptive sliding-mode control for MIMO nonlinear systems
    Tong, SC
    Li, HX
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2003, 11 (03) : 354 - 360
  • [30] Adaptive Fuzzy H∞ Control for a Class of Nonlinear Systems with Sliding Performance
    Deng Wei
    Zhang Bing
    Sun Qiuye
    Zhao Yan
    PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 2607 - 2611
12345