Authors:
- 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
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 419)
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Table of contents (8 chapters)
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Front Matter
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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.
Authors and Affiliations
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TRW Ltd., Shirley, UK
Ihab Samy
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Department of Engineering, University of Leicester, Leicester, UK
Da-Wei Gu
Bibliographic Information
Book Title: Fault Detection and Flight Data Measurement
Book Subtitle: Demonstrated on Unmanned Air Vehicles using Neural Networks
Authors: Ihab Samy, Da-Wei Gu
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-3-642-24052-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-24051-5Published: 15 October 2011
eBook ISBN: 978-3-642-24052-2Published: 02 February 2012
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XX, 176
Number of Illustrations: 59 b/w illustrations, 23 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Aerospace Technology and Astronautics, Systems Theory, Control