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Fault detection and accommodation via neural network and variable structure control

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Abstract

This paper proposes a novel idea that classifies faults into two different kinds: serious faults and small faults, and treats them with different strategies respectively. A kind of artificial neural network (ANN) is proposed for detecting serious faults, and variable structure (VS) model-following control is constructed for accommodating small faults. The proposed framework takes both advantages of qualitative way and quantitative way of fault detection and accommodation. Moreover, the uncertainty case is investigated and the VS controller is modified. Simulation results of a remotely piloted aircraft with control actuator failures illustrate the performance of the developed algorithm.

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China

    Hao Yang & Bin Jiang

  2. LAGIS-CNRS, UMR 8146, Université des Sciences et Technologies de Lille, Villeneuve d’Ascq cedex, 59655, France

    Hao Yang

Authors
  1. Hao Yang
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  2. Bin Jiang
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Additional information

This work was supported by National Natural Science Foundation of China (60574083), Key Laboratory of Process Industry Automation, Ministry of Education of China (PAL200514) and Innovation Scientific Fund of Nanjing University of Aeronautics and Astronautics (Y0508-031).

Hao YANG is a Ph.D. candidate of Nanjing University of Aeronautics and Astronautics (NUAA), China and Université des Sciences et Technologies de Lille, France. His research interests include fault diagnosis and fault tolerant control, adaptive control, neural network.

Bin JIANG is a Professor at the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. He received his Ph.D. degree in Automatic Control from Northeastern University, Shenyang, China, in 1995. He had been a postdoctoral fellow in Nanyang Technological University (Singapore), University of Science and Technology of Lille (France), National Center for Scientific Research (France) and University of Louisiana at Lafayette (USA), respectively. He is a senior member of IEEE and serves as associate editors for International Journal of System Science, International Journal of Control, Automation and Systems, International Journal of Innovative, Computing, Information and Control. His research interests include fault diagnosis and fault tolerant control, nonlinear system control, flight control and robot control.

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Yang, H., Jiang, B. Fault detection and accommodation via neural network and variable structure control. J. Control Theory Appl. 5, 253–260 (2007). https://doi.org/10.1007/s11768-005-5204-7

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  • DOI: https://doi.org/10.1007/s11768-005-5204-7

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