Small Unmanned Aircraft: Theory and Practice

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9780691149219: Small Unmanned Aircraft: Theory and Practice

Autonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations. Despite their importance, no previous textbook has accessibly introduced UAVs to students in the engineering, computer, and science disciplines--until now. Small Unmanned Aircraft provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area.


The authors explore the essential underlying physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning. The textbook leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. To facilitate understanding, the authors have replaced traditional homework assignments with a simulation project using the MATLAB/Simulink environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models. They develop low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms. The final chapter of the book focuses on UAV guidance using machine vision.


Designed for advanced undergraduate or graduate students in engineering or the sciences, this book offers a bridge to the aerodynamics and control of UAV flight.

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From the Inside Flap :


"This book presents a unique and broad introduction to the necessary background, tools, and methods to design guidance, navigation, and control systems for unmanned air vehicles. Written with confidence and authority by leading researchers in the field, this effectively organized book provides an excellent reference for all those interested in this subject."--Emilio Frazzoli, Massachusetts Institute of Technology


"Presenting aircraft dynamics to nonaerospace students, this book provides a clear description and explanation for the design of navigation, guidance, and control algorithms for small to miniature unmanned aircraft systems."--Eric W. Frew, University of Colorado, Boulder


About the Author :

Randal W. Beard is a professor in the Department of Electrical and Computer Engineering at Brigham Young University. He is the coauthor of Distributed Consensus in Multi-vehicle Cooperative Control.
Timothy W. McLain is a professor in the Department of Mechanical Engineering at Brigham Young University.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Randal W. Beard
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ISBN 10 : 0691149216 ISBN 13 : 9780691149219
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Description du livre Princeton University Press, 2012. HRD. État : New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. N° de réf. du libraire BB-9780691149219

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Beard, Randal W.; McLain, Timothy W.
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Description du livre Princeton University Press, 2012. État : New. 2012. Hardcover. Provides key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables students with an introductory-level background in controls or robotics to enter this important area. This title explores the essential underlying physics and sensors of unmanned air vehicles problems. Num Pages: 320 pages, 126 line illus. 8 tables. BIC Classification: TRP; TRT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 182 x 255 x 23. Weight in Grams: 838. . . . . . . N° de réf. du libraire V9780691149219

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Randal W. Beard, Timothy W. Mclain
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Description du livre Princeton University Press, United States, 2012. Hardback. État : New. Language: English . Brand New Book. Autonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations. Despite their importance, no previous textbook has accessibly introduced UAVs to students in the engineering, computer, and science disciplines--until now. Small Unmanned Aircraft provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area. The authors explore the essential underlying physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning. The textbook leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. To facilitate understanding, the authors have replaced traditional homework assignments with a simulation project using the MATLAB/Simulink environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models.They develop low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms. The final chapter of the book focuses on UAV guidance using machine vision. Designed for advanced undergraduate or graduate students in engineering or the sciences, this book offers a bridge to the aerodynamics and control of UAV flight. N° de réf. du libraire AAU9780691149219

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Randal W. Beard, Timothy W. Mclain
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ISBN 10 : 0691149216 ISBN 13 : 9780691149219
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Description du livre Princeton University Press, United States, 2012. Hardback. État : New. Language: English . Brand New Book. Autonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations. Despite their importance, no previous textbook has accessibly introduced UAVs to students in the engineering, computer, and science disciplines--until now. Small Unmanned Aircraft provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area. The authors explore the essential underlying physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning. The textbook leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. To facilitate understanding, the authors have replaced traditional homework assignments with a simulation project using the MATLAB/Simulink environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models. They develop low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms. The final chapter of the book focuses on UAV guidance using machine vision. Designed for advanced undergraduate or graduate students in engineering or the sciences, this book offers a bridge to the aerodynamics and control of UAV flight. N° de réf. du libraire AAU9780691149219

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Randal W. Beard, Timothy Mclain, Timothy W. Mclain
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Description du livre Princeton University Press. État : New. 2012. Hardcover. Provides key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables students with an introductory-level background in controls or robotics to enter this important area. This title explores the essential underlying physics and sensors of unmanned air vehicles problems. Num Pages: 320 pages, 126 line illus. 8 tables. BIC Classification: TRP; TRT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 182 x 255 x 23. Weight in Grams: 838. . . . . . Books ship from the US and Ireland. N° de réf. du libraire V9780691149219

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