Fault Detection and Flight Data Measurement Demonstrated on Unmanned Air Vehicles using Neural Networks /

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 pur...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Samy, Ihab (Author), Gu, Da-Wei (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Lecture Notes in Control and Information Sciences, 419
Subjects:
Control engineering.
Computational intelligence.
Aerospace engineering.
Astronautics.
System theory.
Control theory.
Control and Systems Theory.
Computational Intelligence.
Aerospace Technology and Astronautics.
Systems Theory, Control .
Online Access:Texto Completo
Table of Contents:
  • Introduction
  • Fault detection and isolation (FDI)
  • Introduction to FADS systems
  • Neural Networks
  • SFDA-Single sensor faults
  • SFDIA-Multiple sensor faults
  • FADS system applied to a MAV
  • Conclusions and Future Work.

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