Fault Detection and Flight Data Measurement

Demonstrated on Unmanned Air Vehicles Using Neural Networks

  • Ihab Samy
  • Da-Wei Gu

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 419)

Table of contents

  1. Front Matter
  2. Ihab Samy, Da-Wei Gu
    Pages 1-4
  3. Ihab Samy, Da-Wei Gu
    Pages 5-17
  4. Ihab Samy, Da-Wei Gu
    Pages 19-27
  5. Ihab Samy, Da-Wei Gu
    Pages 29-35
  6. Ihab Samy, Da-Wei Gu
    Pages 37-82
  7. Ihab Samy, Da-Wei Gu
    Pages 83-107
  8. Ihab Samy, Da-Wei Gu
    Pages 109-158
  9. Ihab Samy, Da-Wei Gu
    Pages 159-163
  10. Back Matter

About this book


This book considers two popular topics: fault detection and isolation (FDI) and flight data estimation using flush air data sensing (FADS) systems. Literature surveys, comparison tests, simulations and wind tunnel tests are performed. In both cases, a UAV platform is considered for demonstration purposes. In the first part of the book, FDI is considered for sensor faults where a neural network approach is implemented. FDI is applied both in academia and industry resulting in many publications over the past 50 years or so. However few publications consider neural networks in comparison to traditional techniques such as observer based, parameter estimations and parity space approaches. The second part of this book focuses on how to estimate flight data (angle of attack, airspeed) using a matrix of pressure sensors and a neural network model. In conclusion this book can serve as an introduction to FDI and FADS systems, a literature survey, and a case study for UAV applications.


Control Fault Detection and Isolation (FDI) Flush Air Data Sensing (FADS) Mini Air Vehicle-Motion Neural Networks

Authors and affiliations

  • Ihab Samy
    • 1
  • Da-Wei Gu
    • 2
  1. 1.TRW Ltd.ShirleyUK
  2. 2.Department of EngineeringUniversity of LeicesterLeicesterUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-24051-5
  • Online ISBN 978-3-642-24052-2
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • Buy this book on publisher's site
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