文章基本信息

标题：An Innovation Approach Based Sensor Fault Detection and Isolation
本地全文：下载
作者：Chingiz Hajiyev
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：17
页码：420-425
DOI：10.1016/j.ifacol.2016.09.072
语种：English
出版社：Elsevier
摘要：In this study, an innovation approach based new sensor Fault Detection and Isolation (FDI) method, which is sensitive to the changes in the innovation mean and covariance of the Kalman filter is proposed. The multiple measurement noise scale factors (MMNSFs) are used in this method as the monitoring statistics. Multiple measurement noise scale factors are determined in order to make it possible to perform the sensor fault detection and isolation operations simultaneously. Proposed innovation approach based sensor FDI algorithm with MMNSF is applied to the dynamic model of an Unmanned Aerial Vehicle (UAV) platform. The single sensor faults are considered. The proposed FDI algorithms are tested for the two different measurement malfunction scenarios; continuous bias at measurements, measurement noise increment.
关键词：Fault detectionFault isolationInnovation sequenceKalman filtersScale factorEstimationAerospace