Flight Dynamics and System Identification for Modern Feedback Control

J E Hubbard Jr. J A Grauer J. E. Hubbard J. A. Grauer

ISBN 10: 0857094661 / ISBN 13: 9780857094667

Edité par Woodhead Publishing Limited, 2013

A propos de cet article

pp. 160.

N° de réf. du vendeur 2642180348

Détails bibliographiques

• Titre: Flight Dynamics and System Identification for Modern Feedback Control
• Éditeur: Woodhead Publishing Limited
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 0857094661
• ISBN à 13 chiffres: 9780857094667
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

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.

Key Features: 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.

Contents: Ornithopter test platform characterizations; Rigid multibody vehicle dynamics; System identification of aerodynamic models; Simulation results.

À propos de l?auteur

Jared A. Grauer is a research aerospace engineer with the National Aeronautics and Space Administration at Langley Research Center. Prior to this he earned a PhD from the University of Maryland in Aerospace Engineering. His research is in system identification, feedback control, and unmanned air vehicle systems. James E. Hubbard Jr, is currently Professor of engineering at the University of Maryland and is serving as the Langley Distinguished Professor, resident at the National Institute of Aerospace. He has researched, developed, and manufactured morphing aircraft, smart materials, and unmanned air vehicle technologies. Prior to this, he led several companies, served as a Professor at the Massachusetts Institute of Technology, and earned a PhD from the same institution. He is a Fellow of The American Institute of Aeronautics and Astronautics (AIAA).