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Less conservative criteria for fault accommodation of time-varying delay systems using adaptive fault diagnosis observer

机译:使用自适应故障诊断观测器的时变时滞系统故障适应的保守度较低的标准

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摘要

This paper studies the problem of fault accommodation of time-varying delay systems using adaptive fault diagnosis observer. Based on the proposed fast adaptive fault estimation (FAFE) algorithm using only a measured output, a delay-dependent criteria is first established to reduce the conservatism of the design procedure, and the FAFE algorithm can enhance the performance of fault estimation. On the basis of fault estimation, the observer-based fault-tolerant tracking control is then designed to guarantee tracking performance of the closed-loop systems. Furthermore, comprehensive analysis is presented to discuss the calculation steps using linear matrix inequality technique. Finally, simulation results of a stirred tank reactor model are presented to illustrate the efficiency of the proposed techniques.
机译:本文采用自适应故障诊断观测器研究时变时滞系统的故障适应问题。基于仅使用测量输出的快速自适应故障估计(FAFE)算法,首先建立了时延相关准则,以减少设计过程的保守性,并且FAFE算法可以提高故障估计的性能。然后在故障估计的基础上,设计基于观察者的容错跟踪控制,以保证闭环系统的跟踪性能。此外,提出了综合分析以讨论使用线性矩阵不等式技术的计算步骤。最后,给出了搅拌釜反应器模型的仿真结果,以说明所提出技术的效率。

著录项

  • 来源
  • 作者

    Bin Jiang; Ke Zhang; Peng Shi;

  • 作者单位

    College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People's Republic of China;

    College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People's Republic of China;

    Faculty of Advanced Technology, University of Glamorgan, Pontypridd CF37 1DL, U.K. School of Engineering and Science, Victoria University, Melbourne, Vic 8001, Australia School of Mathematics and Statistics, University of South Australia, Mawson Lakes 5095, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    fast fault estimation; fault accommodation; adaptive observer; time-varying delay;

    机译:快速故障估计;故障调节;适应性观察者时变延迟;
  • 入库时间 2022-08-18 01:01:29

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