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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.
- Sales Rank: #709808 in Books
- Published on: 2012-02-26
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .90" w x 7.10" l, 1.80 pounds
- Binding: Hardcover
- 320 pages
Review
"It is very nicely written with a presentation style that engineers in industry will appreciate. Most of the mathematics involved is very straightforward and the results are presented in a very clear manner. This is a text that should be very useful to those working on unmanned aerial vehicles and may even be of interest to those working on unmanned land or marine vehicles."--Applied Control Technology Consortium
From the Back Cover
"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.
Most helpful customer reviews
8 of 8 people found the following review helpful.
Concise but comprehensive overview of SUAS algorithmic design
By dew
Beard and McLean's textbook concisely covers the guidance, navigation and control algorithms used in small unmanned aircraft. The text is written so that a reader unfamiliar with some background material can "take it on faith" and move ahead with the book's progression through the material and the bibliography is certainly adequate with supporting material. A very enjoyable aspect of the book is the end of chapter questions form a single design project that spans the entire book so that if one works through all the chapters at the conclusion the reader has a full, rudimentary SUAS simulation system, and the construction of this simulation emphasizes many of the concepts introduced in the book and allows the reader to easily experiment with design changes. Due to the very consice nature of the book, there are many instances where I felt like the authors introduce material without even mentioning alternate approaches. SUAS-GNC is a rich field and while this book will certainly leave the reader with a comprehensive understanding of one approach, the reader may not have an appreciation for the myriad of other approaches or the tradeoffs involved.
2 of 2 people found the following review helpful.
The website makes a poor attempt at helping readers with the many errors
By TB
Bought this book with high expectations, unfortunately, it's disappointing on many levels. The level of the material presented is comprehensive enough and broken down into somewhat manageable pieces to follow along. The biggest downfall of the book is the many typos/errors and insufficient clarification on examples. The website makes a poor attempt at helping readers with the many errors. The website also includes a section for users to comment and request feedback but the authors refuse to provide any feedback or updates. There are many concepts that are mentioned in the book on a very superficial level and the authors do a very poor job at providing the correct amount of detail, some of the solutions to the equations seems to appear out of the blue as if by magic. It would be nice if the authors at least made an attempt to respond to reader's concerns, especially since we're the ones buying their books.
0 of 0 people found the following review helpful.
Great Textbook For Autonomous Robotic Systems Course
By Mixmasta91
This was the textbook for my Autonomous Robotic Systems course. With the help of the professor we used the concepts in this book to make Matlab and Simulink simulations to rotate and translate simple 3D models of vehicles, create waypoint navigation algorithms, animate the dynamics of applied moments and forces, and create an autonomous control system for a quad-copter. For those who aren't in a college course that uses this book, the website for the book has Matlab and Simulink files so that you can work on similar projects. The book is incredibly helpful for understanding the theory, and the Appendices have great examples of Matlab code for vehicle plotting/animating, translation, rotation, and the creation of S-Functions to make your own Simulink blocks.
Background knowledge in differential equations, dynamic systems, Matlab, and Simulink is required if you want to learn this stuff effectively.
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