基于主成分分析的车辆组合导航系统故障检测与隔离算法

交通运输系统工程与信息 ›› 2009, Vol. 9 ›› Issue (5): 46-52 .

• 智能交通系统与信息技术 • 上一篇下一篇

基于主成分分析的车辆组合导航系统故障检测与隔离算法

刘江^a,b;蔡伯根^b;王剑^a,b;唐涛^{* a,b}

北京交通大学 a.轨道交通控制与安全国家重点实验室； b.电子信息工程学院，北京 100044

收稿日期:2009-02-25 修回日期:2009-06-17 出版日期:2009-10-25 发布日期:2009-10-25
通讯作者: 唐涛
作者简介:刘江（1985-），男，陕西汉中人，博士生.
基金资助:
国家“863”计划资助项目(2007AA11Z214)；国家自然科学基金重点项目(60736047)；国家自然科学基金项目(60870016)

Principal Component Analysis Based Fault Detection and Isolation Algorithm for Integrated Vehicle Navigation System

LIU Jiang ^a,b; CAI Bai-gen ^b; WANG Jian ^a,b; TANG Tao ^a,b

a.State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044,China; b. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

Received:2009-02-25 Revised:2009-06-17 Online:2009-10-25 Published:2009-10-25
Contact: TANG Tao

摘要/Abstract

摘要： 故障检测与隔离是保证组合导航系统容错性能的重要措施。本文针对车辆导航系统的可靠及安全性需求，分析了组合导航系统的传感器故障特性，建立了包含三个数据通路的车辆组合导航系统容错设计结构，提出了一种基于主成分分析的故障检测与隔离算法。该算法利用数据的相关关系，采用正常条件下的导航历史数据建立统计PCA模型，通过一定的统计量控制限检验新的导航数据样本相对于模型的背离程度实现故障检测，并根据不同数据通路的故障检测结果动态调整导航子系统的有效性因数，从而隔离故障造成的影响。仿真结果表明，该算法实现简单，能够有效实现对组合导航系统故障的检测与隔离。

关键词: 车辆导航, 组合导航系统, 主成分分分析, 故障检测, 故障隔离

Abstract: Fault detection and isolation is crucial to support the fault-tolerance of integrated navigation system. Based on the requirements of reliability and safety for vehicle navigation, the characteristics of navigation sensors are analyzed, the structure of integrated navigation system is designed with three data channels, and a fault detection and isolation algorithm is proposed based on principal component analysis for integrated vehicle navigation. In this method, considering the correlation of the navigation data, statistical principal component analysis (PCA) models are developed with historical navigation data under normal conditions, the fault detection is realized by verifying the deviation of new navigation data from the PCA models with control limits of certain statistics. The detection results of different data channels can be used for the dynamical adjusting of efficiency factor in navigation subsystem by prior strategies, and then fault can be isolated efficiently. The simulations results illustrate that the proposed algorithm can realize the fault detection and isolation efficiently with simple implementation.

Key words: vehicle navigation, integrated navigation system, principal component analysis, fault detection, fault isolation

中图分类号:

U666.11

刘江,蔡伯根,王剑,唐涛. 基于主成分分析的车辆组合导航系统故障检测与隔离算法[J]. 交通运输系统工程与信息, 2009, 9(5): 46-52 .

LIU Jiang, CAI Bai-gen, WANG Jian, TANG Tao . Principal Component Analysis Based Fault Detection and Isolation Algorithm for Integrated Vehicle Navigation System[J]. Journal of Transportation Systems Engineering and Information Technology, 2009, 9(5): 46-52 .

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基于主成分分析的车辆组合导航系统故障检测与隔离算法

Principal Component Analysis Based Fault Detection and Isolation Algorithm for Integrated Vehicle Navigation System

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