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

• Main Authors: Samy, Ihab (Author), Gu, Da-Wei (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Lecture Notes in Control and Information Sciences, 419
• Subjects: Engineering.; System theory.; Computational intelligence.; Aerospace engineering.; Astronautics.; Control engineering.; Control.; Computational Intelligence.; Aerospace Technology and Astronautics.; Systems Theory, Control.

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...

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.