
Micro-Small Fixed-Wing UAV Control
Description
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This book focuses on the design and development of flight control for micro-small fixed-wing unmanned aerial vehicles (UAVs). The content is progressively deepened and closely linked to current engineering practices. By conducting an in-depth study of several key themes-such as UAV design, modeling, single-machine control and planning, swarm control and planning, and the development of visual perception algorithms-this book enables readers with no prior background to grasp advanced development techniques and keep pace with the forefront of technology. As such, it offers a valuable resource for anyone interested in micro-small fixed-wing UAVs, including students, teachers, researchers, and engineers.
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Persons
Quan Quan received his B.S. and Ph.D. degrees from Beihang University (Beijing University of Aeronautics and Astronautics), China in 2004 and 2010, respectively. He currently serves as a professor at Beihang University. He is also the director of the reliable flight control group at Beihang University. His main research interests include vision-based navigation and reliable flight control. To date, he has published more than 80 peer-reviewed journal papers, including International Journal of Robotic Research, IEEE Transactions on Robotics, Automatic Control, Mechatronics, Neural Networks and Learning Systems, Aerospace and Electronic Systems, Reliability and AIAA Transactions on Journal of Guidance, Control, and Dynamics. In addition, he has launched a design evaluation web for small aircraft.
Content
Introduction.- Experimental Platform Configuration and Development Process.- Level Flight Performance Evaluation Experiment.- Controlled Dynamic System Modeling Experiment.- System Identification Experiment.- Low Level Flight Control Experiment.- Path Following and Planning Experiment.- Trajectory Planning and Differential Flatness Control Experiment.- Image-Based Visual Servo Docking Control Experiment.- Swarm Flight Control Experiment.
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Copy protection: Watermark-DRM (Digital Rights Management)
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