A NSGAII approach to the fault detection filter design

被引:0
|
作者
Mechiche, Karim [1 ]
Zouaoui, Zoubir [1 ]
机构
[1] Univ Wales, NEWI, Dept Engn, Plas Coch Mold Rd, Wrexham LL11 2AW, Wales
关键词
genetic algorithm; fault detection filter; multi-objective optimisation; residual generation; aircraft;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose to design a fault detection filter for a linear time invariant system using the non-dominated sorting genetic algorithm II. The fault detection filter is an observer with a set of projectors that map each fault in a specific residual direction. The design of the fault detection filter is formulated as a multi-objectives optimisation problem in the frequency domain. The non-dominated sorting genetic algorithm II is utilised to tune the filter gain and each projector in order to minimise the sensitivity of the fault signals to be blocked and maximise the sensitivity of each fault signal to be identified in each residual direction. With this approach, different fault isolation problems can be formulated; simultaneous faults or one fault at a time. Furthermore, there is a large freedom in the way the observer gain and the projectors can be designed. Finally, the viability of the approach is demonstrated through the detection and the isolation of sensor and actuator faults for a linear aircraft model.
引用
收藏
页码:93 / +
页数:2
相关论文
共 50 条
  • [31] Fault detection filter design for a class of networked control systems
    Zhong, Maiying
    Han, Qing-Long
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 215 - +
  • [32] Fault detection filter design for networked systems with cyber attacks
    Dai, Shifang
    Zha, Lijuan
    Liu, Jinliang
    Xie, Xiangpeng
    Tian, Engang
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2022, 412
  • [33] Fault detection filter design for LTI system with time delays
    Zhong, MY
    Ding, SX
    Lam, J
    Zhang, CH
    [J]. 42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 1467 - 1472
  • [34] LMI-based filter design for fault detection and isolation
    Nobrega, EG
    Abdalla, MO
    Grigoriadis, KM
    [J]. PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2000, : 4329 - 4334
  • [35] New method for design of multi-fault detection filter
    Hu, Shousong
    Chen, Fuyang
    Huang, Xingli
    [J]. Shu Ju Cai Ji Yu Chu Li/Journal of Data Acquisition & Processing, 1999, 14 (01): : 5 - 7
  • [36] Fault detection filter design for the dynamics of high speed trains
    Bai, Weiqi
    Dong, Hairong
    Yao, Xiuming
    Lin, Xue
    [J]. PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 7155 - 7160
  • [37] Fault detection filter design for networked systems with cyber attacks
    Dai, Shifang
    Zha, Lijuan
    Liu, Jinliang
    Xie, Xiangpeng
    Tian, Engang
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2022, 412
  • [38] Fault detection filter design and optimization for networked control systems
    Niu, Erzhuo
    Wang, Qing
    Dong, Chaoyang
    Wang, Mingming
    [J]. Niu, E. (nz830111@163.com), 1600, Editorial Board of Journal of Harbin Engineering (34): : 984 - 989
  • [39] Optimal fault detection filter design for switched linear systems
    Iftikhar, Kamran
    Khan, Abdul Qayyum
    Abid, Muhammad
    [J]. NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2015, 15 : 132 - 144
  • [40] Fault detection filter design for switched systems with quantization effects
    Li, Jian
    Park, Ju H.
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (11): : 2431 - 2450