A sensor fault accommodation system using a neural network

被引:3
|
作者
McLean, D [1 ]
Saade, C
Zinsch, F
机构
[1] Univ Southampton, Dept Aeronaut & Astron, Southampton SO17 1BJ, Hants, England
[2] Ecole Natl Super Ingn Construct Aeronaut, Toulouse, France
关键词
sensor; fault; neural network; closed-loop; dynamic response; helicopter; flight-control system;
D O I
10.1177/014233129701900306
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The presence of faults on feedback sensors can have serious effects on the performance of closed-loop systems. This note describes a method of using an auxiliary neural network controller to provide the required closed-loop dynamic response even when sensor faults are present. The effectiveness of the scheme is described in relation to a helicopter flight control system which operated with a variety of different types of sensor faults.
引用
收藏
页码:166 / 168
页数:3
相关论文
共 50 条
  • [41] Fault Diagnosis of Rolling Bearing Using Wireless Sensor Networks and Convolutional Neural Network
    Hou, Liqun
    Li, Zijing
    Qu, Huaisheng
    [J]. INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2020, 16 (11) : 32 - 44
  • [42] Fault detection and accommodation for nonlinear systems using fuzzy neural networks
    Xue, H.
    Jiang, J. G.
    [J]. IPEMC 2006: CES/IEEE 5TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-3, CONFERENCE PROCEEDINGS, 2006, : 1958 - +
  • [43] Sensor fault detection and accommodation using neural networks with application to a non-linear unmanned air vehicle model
    Samy, I.
    Postlethwaite, I.
    Gu, D-W
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2010, 224 (G4) : 437 - 447
  • [44] Fault diagnosis for power electronic system with fault gradation using assembly neural network group
    Ma, Chengcai
    Gu, Xiaodong
    Wang, Yuanyuan
    [J]. ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 3, PROCEEDINGS, 2007, : 277 - +
  • [45] Signal processing using artificial neural network for BOTDA sensor system
    Azad, Abul Kalam
    Wang, Liang
    Guo, Nan
    Tam, Hwa-Yaw
    Lu, Chao
    [J]. OPTICS EXPRESS, 2016, 24 (06): : 6769 - 6782
  • [46] Fault diagnosis method for building VRF system based on convolutional neural network: Considering system defrosting process and sensor fault coupling
    Zhou, Zhenxin
    Li, Guannan
    Chen, Huanxin
    Zhong, Hanlu
    [J]. BUILDING AND ENVIRONMENT, 2021, 195
  • [47] A temperature sensor fault detector as an Artificial Neural Network application
    Postelache, O
    Girao, PS
    Ramos, HG
    Pereira, JMD
    [J]. MELECON '98 - 9TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1 AND 2, 1998, : 678 - 682
  • [48] The Sensor Fault Diagnosis of the UV Based on the Wavelet Neural Network
    Wang Shengwu
    Shi Xiuhua
    Wei Zhaoyu
    [J]. 2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL II, 2010, : 168 - 171
  • [49] Sensor Fault Detection Based on General Regression Neural Network
    Li C.-Z.
    Zhang Y.
    [J]. 1600, Journal of Propulsion Technology (38): : 2130 - 2137
  • [50] INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK
    Khalid, Hans M.
    Doraiswami, Rajamani
    Cheded, Lahouari
    [J]. ICINCO 2009: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION, 2009, : 121 - +