Abstract

The problem of the functional diagnostics of engineering systems described by nonlinear differential equations with constant coefficients in the presence of disturbances is considered. To solve the problem of fault identification, the sliding-mode observers are used. The proposed approach is based on the idea of constructing a reduced model of the original system (a model with a lower dimension) with selective sensitivity against the faults and disturbances, and this model then becomes the base for constructing the sliding-mode observer. In addition to reducing the dimension of the diagnostics tools, the proposed approach allows weakening the restrictions imposed on the original system to make it possible to synthesize sliding-mode observers.

中文翻译：

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基于滑模观测器的非线性系统故障识别方法

摘要

考虑了在存在干扰的情况下由具有常数系数的非线性微分方程描述的工程系统的功能诊断问题。为了解决故障识别的问题，使用了滑模观测器。所提出的方法基于构造具有对故障和干扰的选择性敏感性的原始系统的简化模型（具有较小尺寸的模型）的思想，然后该模型成为构造滑模观察器的基础。除了减少诊断工具的尺寸外，所提出的方法还可以削弱对原始系统的限制，从而可以合成滑模观察器。