Flight Dynamics And System Identification For Modern Feedback Control: Avian-inspired Robots

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    Flight Dynamics and System Identification for Modern Feedback Control: Avian-Inspired Robots
    By: Grauer, J A; Hubbard Jr., J E
    Publisher:
    Woodhead Publishing
    Print ISBN: 9780857094667, 0857094661
    eText ISBN: 9780857094667, 9780857094674, 085709467X
    Pages: 160
    Format: PDF
    Available from $ 200.00 USD
    SKU 9780857094667
    Unmanned air vehicles are becoming increasingly popular alternatives for private applications which include, but are not limited to, fire fighting, search and rescue, atmospheric data collection, and crop surveys, to name a few. Among these vehicles are avian-inspired, flapping-wing designs, which are safe to operate near humans and are required to carry payloads while achieving manoeuverability and agility in low speed flight. Conventional methods and tools fall short of achieving the desired performance metrics and requirements of such craft. Flight dynamics and system identification for modern feedback control provides an in-depth study of the difficulties associated with achieving controlled performance in flapping-wing, avian-inspired flight, and a new model paradigm is derived using analytical and experimental methods, with which a controls designer may then apply familiar tools. This title consists of eight chapters and covers flapping-wing aircraft and flight dynamics, before looking at nonlinear, multibody modelling as well as flight testing and instrumentation. Later chapters examine system identification from flight test data, feedback control and linearization.

    Presents experimental flight data for validation and verification of modelled dynamics, thus illustrating the deficiencies and difficulties associated with modelling flapping-wing flight
    Derives a new flight dynamics model needed to model avian-inspired vehicles, based on nonlinear multibody dynamics
    Extracts aerodynamic models of flapping flight from experimental flight data and system identification techniques
     

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