Actuator and sensor fault isolation in a class of nonlinear dynamical systems

Hamed Tirandaz, Christodoulos Keliris, Marios M. Polycarpou
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引用次数: 0

Abstract

Fault isolation in dynamical systems is a challenging task due to modeling uncertainty and measurement noise, interactive effects of multiple faults and fault propagation. This paper proposes a unified approach for isolation of multiple actuator or sensor faults in a class of nonlinear uncertain dynamical systems. Actuator and sensor fault isolation are accomplished in two independent modules, that monitor the system and are able to isolate the potential faulty actuator(s) or sensor(s). For the sensor fault isolation (SFI) case, a module is designed which monitors the system and utilizes an adaptive isolation threshold on the output residuals computed via a nonlinear estimation scheme that allows the isolation of single/multiple faulty sensor(s). For the actuator fault isolation (AFI) case, a second module is designed, which utilizes a learning-based scheme for adaptive approximation of faulty actuator(s) and, based on a reasoning decision logic and suitably designed AFI thresholds, the faulty actuator(s) set can be determined. The effectiveness of the proposed fault isolation approach developed in this paper is demonstrated through a simulation example.

一类非线性动力系统中的致动器和传感器故障隔离
由于建模的不确定性和测量噪声、多重故障的交互影响以及故障传播,动态系统的故障隔离是一项具有挑战性的任务。本文提出了一种统一的方法,用于隔离一类非线性不确定动力系统中的多个执行器或传感器故障。执行器和传感器故障隔离由两个独立模块完成,这两个模块监控系统,并能隔离潜在的故障执行器或传感器。在传感器故障隔离(SFI)情况下,设计了一个模块来监控系统,并利用通过非线性估计方案计算出的输出残差上的自适应隔离阈值来隔离单个/多个故障传感器。对于执行器故障隔离(AFI)情况,设计了第二个模块,利用基于学习的方案对故障执行器进行自适应近似,并根据推理决策逻辑和适当设计的 AFI 阈值,确定故障执行器组。本文提出的故障隔离方法的有效性通过一个仿真实例得到了证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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