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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Samy, Ihab (Autor), Gu, Da-Wei (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Lecture Notes in Control and Information Sciences, 419
Temas:
Control engineering.
Computational intelligence.
Aerospace engineering.
Astronautics.
System theory.
Control theory.
Control and Systems Theory.
Computational Intelligence.
Aerospace Technology and Astronautics.
Systems Theory, Control .
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares