基于滑模观测器的自动驾驶汽车传感器故障检测

K. Bouibed, A. Aitouche, M. Bayart
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引用次数: 12

摘要

本文研究了基于观测器的传感器故障检测与隔离方法。其原理是通过滑模观测器重构系统的状态向量和测量值,并将估计输出与测量输出进行比较。在这项工作中,使用了多观察者技术。它由许多观测器组成,每个输出(传感器测量)至少有一个观测器。每个观测器必须对噪声和其他不确定性具有鲁棒性,但对传感器故障敏感。残差是估计误差,即传感器测量值与估计值之间的差值。在传感器没有故障的情况下,这个残差保持在零附近,如果发生故障,它会明显偏离零。这种方法被应用于一种名为RobuCar的自动电动汽车。最后给出了仿真结果,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensor fault detection by sliding mode observer applied to an autonomous vehicle
This paper deals with sensors faults detection and isolation using method by observers. The principle is to reconstruct the state vector and measurements of the system by sliding mode observers and compare the estimated outputs with those measured. In this work, a multi observer's technique is used. It consists on construction of many observers, at least one observer for each output (sensor measurement). Each observer must be robust to noises and to other uncertainties but sensitive to sensor faults. The residual is the estimation error witch is the difference between sensor measurement and its estimated. Without failure in the sensor, this residual remains around zero and if a fault is occurred, it deviates significantly from zero. This method is applied to an autonomous electric vehicle called RobuCar. Simulation results are given at the end to show the effectiveness of the approach.
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