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基于未知输入集员滤波器的不确定系统故障诊断

汤文涛 王振华 王烨 沈毅

汤文涛, 王振华, 王烨, 沈毅. 基于未知输入集员滤波器的不确定系统故障诊断. 自动化学报, 2018, 44(9): 1717-1724. doi: 10.16383/j.aas.2017.c170123
引用本文: 汤文涛, 王振华, 王烨, 沈毅. 基于未知输入集员滤波器的不确定系统故障诊断. 自动化学报, 2018, 44(9): 1717-1724. doi: 10.16383/j.aas.2017.c170123
TANG Wen-Tao, WANG Zhen-Hua, WANG Ye, SHEN Yi. Fault Diagnosis for Uncertain Systems Based on Unknown Input Set-membership Filters. ACTA AUTOMATICA SINICA, 2018, 44(9): 1717-1724. doi: 10.16383/j.aas.2017.c170123
Citation: TANG Wen-Tao, WANG Zhen-Hua, WANG Ye, SHEN Yi. Fault Diagnosis for Uncertain Systems Based on Unknown Input Set-membership Filters. ACTA AUTOMATICA SINICA, 2018, 44(9): 1717-1724. doi: 10.16383/j.aas.2017.c170123

基于未知输入集员滤波器的不确定系统故障诊断

doi: 10.16383/j.aas.2017.c170123
基金项目: 

国家自然科学基金 61273162

机器人学国家重点实验室开放课题 2014-O04

国家自然科学基金 61403104

中央高校基本科研业务费专项资金 HIT.KLOF.2015.076

详细信息
    作者简介:

    汤文涛 哈尔滨工业大学航天学院博士研究生.主要研究方向为故障诊断和集员估计.E-mail:tangwentao2015@hit.edu.cn

    王振华 哈尔滨工业大学航天学院讲师.主要研究方向为故障诊断与容错控制技术.E-mail:zhenhua.wang@hit.edu.cn

    王烨  西班牙加泰罗尼亚理工大学自动化学院博士研究生.主要研究方向为模型预测控制, 故障诊断和容错控制.E-mail:ywang@iri.upc.edu

    通讯作者:

    沈毅 哈尔滨工业大学航天学院教授.主要研究方向为故障诊断, 飞行器控制, 超声信号处理.本文通信作者.E-mail:yishen_hit@126.com

Fault Diagnosis for Uncertain Systems Based on Unknown Input Set-membership Filters

Funds: 

National Natural Science Foundation of China 61273162

State Key Laboratory of Robotics 2014-O04

National Natural Science Foundation of China 61403104

the Fundamental Research Funds for the Central Universities HIT.KLOF.2015.076

More Information
    Author Bio:

    Ph.D.candidate at the School of Astronautics, Harbin Institute of Technology.His research interest covers fault diagnosis and set-membership estimation

    Lecturer at the School of Astronautics, Harbin Institute of Technology.His research interest covers fault diagnosis and fault-tolerant control

    Ph.D.candidate at the Automatic Control Department, Universitat Politécnica de Catalunya, Spain.His research interest covers model predictive control, fault diagnosis, and fault-tolerant control

    Corresponding author: SHEN Yi Professor at the School of Astronautics, Harbin Institute of Technology.His research interest covers fault diagnosis, flight vehicle control, and ultrasound signal processing.Corresponding author of this paper
  • 摘要: 针对一类具有参数不确定性和未知扰动的线性系统,提出了一种新的执行器故障诊断方法.将指定执行器故障视为未知输入,利用全对称多胞形近似状态边界,本文设计了一种未知输入全对称多胞形集员滤波器,以估计测量输出的上下边界.在此基础上,提出了一种利用一组未知输入滤波器的故障检测与分离策略.通过一个飞行控制系统的数值仿真验证了所提出方法的有效性.
    1)  本文责任编委 文成林
  • 图  1  考虑单一故障时的故障诊断原理示意图

    Fig.  1  Fault diagnosis scheme for single fault scenario

    图  2  执行器1故障时滤波器1的仿真结果

    Fig.  2  The simulation results of the first filter with the first actuator in fault

    图  3  执行器1故障时的滤波器2的仿真结果

    Fig.  3  The simulation results of the second filter with the first actuator in fault

    图  4  执行器2故障时滤波器1的仿真结果

    Fig.  4  The simulation results of the first filter with the second actuator in fault

    图  5  执行器2故障时滤波器2的仿真结果

    Fig.  5  The simulation results of the second filter with the second actuator in fault

    图  6  文献[27]中方法的仿真结果

    Fig.  6  The simulation results of the method in [27]

    图  7  无故障时文献[27]中方法的仿真结果

    Fig.  7  The simulation results of the method in [27] without fault

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出版历程
  • 收稿日期:  2017-03-10
  • 录用日期:  2017-08-02
  • 刊出日期:  2018-09-20

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