控制系统可诊断性的内涵与研究综述

王大轶; 符方舟; 刘成瑞; 李文博; 刘文静; 何英姿; 邢琰

doi:10.16383/j.aas.2018.c170618

控制系统可诊断性的内涵与研究综述

doi: 10.16383/j.aas.2018.c170618

王大轶^1,,
符方舟^2,3, ,,
刘成瑞^2,3,,
李文博^2,3,,
刘文静^2,3,,
何英姿^2,3,,
邢琰^2,3,

1.
北京空间飞行器总体设计部北京 100094
2.
北京控制工程研究所北京 100190
3.
空间智能控制技术重点实验室北京 100190

基金项目:

国家自然科学基金 61690215

国家杰出青年科学基金 61525301

国家自然科学基金 61573060

国家自然科学基金 61203093

国家自然科学基金 61640304

详细信息

作者简介:
王大轶北京空间飞行器总体设计部研究员.主要研究方向为航天器的自主制导, 导航与控制, 故障诊断与容错控制.E-mail:dayiwang@163.com

刘成瑞北京控制工程研究所高级工程师.2006年获得北京航空航天大学博士学位.主要研究方向为卫星控制系统的故障诊断与容错控制.E-mail:liuchengrui@gmail.com

李文博北京控制工程研究所高级工程师.2012年在获得哈尔滨工业大学博士学位.主要研究方向为故障诊断与容错控制, 卫星控制系统的可诊断性评价与设计.E-mail:liwenbo_bice@163.com

刘文静北京控制工程研究所高级工程师.2009年获得天津大学博士学位.主要研究方向为故障诊断与容错控制, 卫星控制系统的可诊断性评价与设计.E-mail:lwjingbice@163.com

何英姿北京控制工程研究所研究员.主要研究方向为航天器制导与控制.E-mail:heyz1970@163.com

邢琰北京控制工程研究所研究员.主要研究方向为航天器故障诊断与容错控制.E-mail:xingyan_bice@163.com

通讯作者:
符方舟北京控制工程研究所博士研究生.2015年获得哈尔滨工业大学深圳研究生院硕士学位.主要研究方向为控制系统的故障诊断, 可诊断性评价.本文通信作者.E-mail:ffzssg@163.com

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出版历程
- 收稿日期: 2017-11-07
- 录用日期: 2018-03-07
- 刊出日期: 2018-09-20

Connotation and Research Status of Diagnosability of Control Systems:A Review

WANG Da-Yi^1
,,
FU Fang-Zhou^{2,3
, ,},
LIU Cheng-Rui^{2,3
,},
LI Wen-bo^{2,3
,},
LIU Wen-Jing^{2,3
,},
HE Ying-Zi^{2,3
,},
XING Yan^{2,3
,}

1.
Beijing Institute of Spacecraft System Engineering, Beijing 100094
2.
Beijing Institute of Control Engineering, Beijing 100190
3.
Science and Technology on Space Intelligent Control Laboratory, Beijing 100190

Funds:

National Natural Science Foundation of China 61690215

National Science Fund for Distinguished Young Scholars 61525301

National Natural Science Foundation of China 61573060

National Natural Science Foundation of China 61203093

National Natural Science Foundation of China 61640304

More Information

Author Bio:
Professor at Beijing Institute of Spacecraft System Engineering.His research interest covers autonomous guidance, navigation and control, fault diagnosis and tolerant control for spacecrafts

Senior engineer at Beijing Institute of Control Engineering.He received his Ph.D.degree from Beijing University of Aeronautics and Astronautics in 2006. His research interest covers fault diagnosis and tolerant control for spacecrafts

Senior engineer at Beijing Institute of Control Engineering.He received his Ph.D.degree from Harbin Institute of Technology in 2012.His research interest covers fault diagnosis and tolerant control, fault diagnosability evaluation and design for satellite control systems

Senior engineer at Beijing Institute of Control Engineering.She received her Ph.D.degree from Tianjin University in 2009.Her research interest covers fault diagnosis and tolerant control, fault diagnosability evaluation and design for satellite control systems

Professor at Beijing Institute of Control Engineering.Her research interest covers guidance and control for spacecrafts

Professor at Beijing Institute of Control Engineering.Her research interest covers fault diagnosis and tolerant control

Corresponding author: FU Fang-Zhou Ph.D.candidate at Beijing Institute of Control Engineering.He received his master degree from Shenzhen Graduate School, Harbin Institute of Technology in 2015. His research interest covers fault diagnosis and fault diagnosability evaluation.Corresponding author of this paper

摘要

摘要: 作为表征控制系统故障诊断能力的属性, 故障可诊断性揭示了故障诊断深层次的内涵.将可诊断性分析纳入控制系统与诊断方案的设计环节, 可以从根本上提高系统对故障的诊断能力, 为研究故障诊断提供新的思路.本文分别从可诊断性的内涵、研究现状以及潜在发展趋势三个角度系统地对可诊断性进行分析.首先, 从定义、影响因素、与已有概念的关系以及应用四个方面剖析了控制系统可诊断性的内涵和研究意义.其次, 分别从可诊断性评价与设计两个方面对可诊断性的研究现状进行分析.最后, 通过对可诊断性已有成果进行总结归纳, 探讨了可诊断性研究存在的不足以及未来发展的趋势.
- 控制系统 /
- 可诊断性 /
- 可诊断性评价 /
- 可诊断性设计 /
- 诊断难度
Abstract: As a property describing fault diagnosis ability of control systems, diagnosability reveals deep insight into fault diagnosis.The fault diagnosis ability can be fundamentally improved by incorporating diagnosability analysis into the designs of control systems and diagnosis programs, which provides a new way for the study of fault diagnosis.To systematically analyze the diagnosability, the connotations, research status and potential research tendencies of diagnosability are discussed.First of all, the concept and research significance of diagnosability are summarized from four sides, definition, influence factors, relationships between diagnosability and other concepts, and applications.Moreover, the current research status of diagnosability is discussed in terms of diagnosability evaluation and design.Finally, the deficiency and prospects of diagnosability study are predicated based on existing results.
- Control systems /
- diagnosability /
- diagnosability evaluation /
- design of diagnosability /
- difficulty in diagnosis
注释:

1) 本文责任编委赵旭东

HTML全文

图 1 可诊断性与可测试性之间的关系

Fig. 1 Relationship between diagnosability and testability

下载: 全尺寸图片幻灯片

表 1 不同的可诊断性对应不同故障诊断深度

Table 1 Different kinds of diagnosabilities correspond to different degrees of fault diagnosis

可诊断性分类	故障诊断深度要求
功能模块级可诊断性	确定发生故障的功能模块
部件级可诊断性	确定发生故障的部件
系统级可诊断性	确定系统是否发生故障

下载: 导出CSV

表 2 可诊断性与可测试性之间的对比分析

Table 2 The comparative analysis of diagnosability and testability

	可测试性	可诊断性
本质	设计特性
研究目标	处理故障
研究方法	主要采用多信号流图方法	多信号流图, 基于数据、统计特性相似度度量等方法
度量指标	故障检测率, 故障隔离率, 故障虚警率	可检测性, 可隔离性, 可辨识性
应用范围	优化系统配置	优化系统配置, 优化诊断方案
关系	可诊断性包含可测试性

下载: 导出CSV

表 3 可诊断性与能观测性、可重构性之间的对比结果

Table 3 The comparisons of diagnosability, observability and reconfigurability

	能观测性	可诊断性	可重构性
基本概念	系统状态运动可由输出完全反映的属性	系统故障能够被确定和有效地识别的程度	发生故障时, 系统克服故障恢复既定功能的能力
两者关系	能观测性分析是研究可诊断性的一种方法		处理故障的不同阶段所对应的性质

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表 4 不同可诊断性评价方法的优越性及其局限性

Table 4 The superiority and limitation of different kinds of diagnosability evaluation methods

评价方法	优越性	局限性
基于定量模型	物理意义明确	难以获得精确模型
基于定性模型	宏观描述系统	对专业知识及经验要求较高
基于数据	不需要建立系统模型	运算量大, 难以评价未知故障

下载: 导出CSV

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