Load Tracking of Unmanned Aerial Vehicle by Fiber Optic Sensors

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Details

Aircraft structures are highly complicated mechanical systems that demand constant maintenance in order to ensure safety and airworthiness. The requirements for structural integrity lead to various structural health monitoring processes, such as operational load monitoring. This book describes the development of an advanced smart load monitoring system based on optical fiber Bragg grating sensors for a UAV composite tail boom. The smart load monitoring system comprising optical interrogator, controller computer and embedded optical fibers, was integrated into the airframe and was able to measure real-time strain sequences during ground tests and real flight conditions. The strain sequences that were obtained from these tests were analyzed and infused to load monitoring evaluation by using different signal processing techniques. It was demonstrated that the system could track the development of small strains in the booms and was also able to identify all major natural frequencies and mode shapes. The result of this evaluation gave comprehensive information about the mechanical behavior of the aircraft structure parts and verified the feasibility of the sensing system.

Autorentext

Dr. Amir Handelman finished his B.Sc,M.Sc, and Ph.D degrees in Electrical Engineering from Tel-Aviv University, Israel in 2008, 2011 and 2014, respectively. He is specialling in optical materials, optical fibers and waveguides. In 2014, Amir joined the faculty of Electrical Engineering in Holon Institute of Technology and established the Optics lab

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659771521
    • Genre Physics
    • Anzahl Seiten 84
    • Herausgeber LAP LAMBERT Academic Publishing
    • Größe H220mm x B150mm
    • Jahr 2015
    • EAN 9783659771521
    • Format Kartonierter Einband
    • ISBN 978-3-659-77152-1
    • Titel Load Tracking of Unmanned Aerial Vehicle by Fiber Optic Sensors
    • Autor Amir Handelman
    • Sprache Englisch

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