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Robust fault detection for nonlinear time-delay systems based on fuzzy observer

机译:基于模糊观测器的非线性时滞系统鲁棒故障检测

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Robust fault detection method based on fuzzy sliding mode observers is developed for a class of uncertain nonlinear systems with time-delay. The uncertain Takagi-Sugeno fuzzy model with time-delay is adopted for fuzzy modeling of nonlinear system to reduce the modeling error, and a synthesis method of the design of sliding mode observers is introduced to generate the estimate state error and residual then to eliminate the effect of the unknown uncertainties of the system for avoiding false alarms, the synthesis method of the observers is presented via solving LMIs. Finally, a simulation example is given to show the design procedure and illustrate the effectiveness of the proposed method.
机译:针对一类具有时滞的不确定非线性系统,开发了一种基于模糊滑模观测器的鲁棒故障检测方法。对非线性系统进行模糊建模时,采用不确定的具有时滞的Takagi-Sugeno模糊模型来减少建模误差,并引入滑模观测器设计的综合方法来产生估计状态误差和残差,然后消除误差。为避免误报系统未知不确定性的影响,通过求解LMI提出了观测器的综合方法。最后,给出了一个仿真实例来说明设计过程并说明了所提方法的有效性。

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