Lecture Notes in Control and Information Sciences

Fault Detection and Flight Data Measurement

Demonstrated on Unmanned Air Vehicles using Neural Networks

Authors: Samy, Ihab, Gu, Da-Wei

  • Introduction to the popular topic of fault detection and isolation (FDI)
  • Design of flush air data sensing (FADS) and its application to a unmanned air vehicle
  • Written by a leading expert in the field
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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.

Table of contents (8 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-24052-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.00
price for USA
  • ISBN 978-3-642-24051-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Fault Detection and Flight Data Measurement
Book Subtitle
Demonstrated on Unmanned Air Vehicles using Neural Networks
Authors
Series Title
Lecture Notes in Control and Information Sciences
Series Volume
419
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Berlin Heidelberg
eBook ISBN
978-3-642-24052-2
DOI
10.1007/978-3-642-24052-2
Softcover ISBN
978-3-642-24051-5
Series ISSN
0170-8643
Edition Number
1
Number of Pages
XX, 176
Number of Illustrations and Tables
59 b/w illustrations, 23 illustrations in colour
Topics