Small Unmanned Aircraft
By R. Beard, Timothy W. McLain. 2012
1,363 citations recorded by the source corpus.
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.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/955ec4678be44cdb5c00ecad136866d7bd77ea25
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Walid Saad
- Medhi Bennis
- Merouane Debbah
- Mohammad Mozaffari
- Young-Han Nam
- Rui Zhang
- Timothy W. McLain
- Yong Zeng
In Computer Vision and Pattern Recognition
- R. Beard
- Robert C. Leishman
- Jeff Ferrin
- Timothy W. McLain
- Merouane Debbah
- Walid Saad
- Medhi Bennis
- Mohammad Mozaffari
Citations in the corpus
- A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (2018, background): “Indeed, UAVs have been considered as enablers of various applications that include military, surveillance and monitoring, telecommunications, delivery of medical supplies, and rescue operations [1], [3], and [6]–[17].”
- Differential flatness based control of a rotorcraft for aggressive maneuvers (2011, methodology): “The relationship between the angular orientations of the hexacopter and the angular rates as derived in [2] is φ̇θ̇ ψ̇ = 1 sφtθ cφtθ 0 cφ −sφ 0 sφ cθ cφ cθ pq r , (3)”
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “BS-based MEC server [134], [135] UAV is served by multiple ground base stations with MEC servers Energy efficient design [129], [130], [135] To minimize the energy consumption of UAV MEC systems.”