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模糊时滞系统的传感器故障诊断
  • ISSN号:1005-1090
  • 期刊名称:辽宁工业大学学报(自然科学版)
  • 时间:0
  • 页码:2077-2092
  • 语言:中文
  • 分类:O231[理学—运筹学与控制论;理学—数学]
  • 作者机构:[1]辽宁工业大学数理科学系,辽宁锦州121001
  • 相关基金:国家自然科学基金资助(60674056):辽宁省优秀青年人才基金(2005219001)
  • 相关项目:非线性不确定系统的模糊自适应容错控制
中文摘要:

针对一类含有未知输入干扰的时滞系统,研究了一类T-S模糊时滞系统的传感器故障诊断问题。通过设计自适应观测器,得到了一种新的鲁棒传感器故障诊断方法。首先对于不含有干扰的系统,设计了自适应观测器进行诊断,然后考虑具有外部干扰的时滞系统,设计了鲁棒自适应观测器进行诊断。这个自适应观测器不仅可以检测出故障的发生,还可以对故障进行较好的估计。同时基于Lyapunov函数方法证明了系统的稳定性。仿真结果说明了此方法具有很好的诊断性能。

英文摘要:

Problems on the sensor fault diagnosis of a class T-S fuzzy time-delay systems were researched against the system' s unknown input. A new technique of the robust sensor fault diagnosis was got hold of by designing an adaptive observer. Systems without interference were initially considered, consequently adaptive observer was designed for diagnosis. Then the system subjected to external disturbance was put into consideration, an adaptive diagnostic algorithm was developed to diagnose the fault, This adaptive observer can not only detect fault occurrence, but also can evaluate faults very well. The stability of the fault diagnosis systems was proved, based on the function of Lyapunov. Finally a numerical example was given to illustrate the efficiency of the proposed method.

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