Overview

Discover the principles of wireless power transfer for unmanned aerial vehicles, from theoretical modelling to practical applications. This essential guide provides a complete technical perspective and hands-on experience. It combines in-depth theoretical models, such as T-models and M-models, with practical system design, including wireless charging system construction. It presents systematic solutions to real-world challenges in UAV wireless charging, such as mutual inductance disturbances and lightweight units. Providing the resources to tackle complex industry problems this book covers the latest technological insights including advanced control methods, such as PT-symmetric WPT system control schemes and charging range extension techniques. Ideal for professional engineers, designers, and researchers, it provides the tools needed to innovate in UAV technology and power systems. Whether you're developing new systems or optimizing existing ones, this comprehensive resource delivers the insights and techniques to drive progress in wireless power transfer for unmanned aircraft.

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9781108472432

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Zhen Zhang is a Professor in Electrical Engineering at Tianjin University and Chair of IEEE Beijing Section IES Chapter (Tianjin). He is an Associate Editor for the IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, and IEEE Industrial Electronics Magazine. He is the recipient of the 2020 Outstanding Paper Award for IEEE Transactions on Industrial Electronics, and the IEEE J. David Irwin Early Career Award. Yu Gu received his Ph.D. degree from Tianjin University. He is currently a Postdoctoral Fellow at Tianjin University with research interests in including wireless power transfer and power electronic control. Qi Li received his M.Sc. from Tianjin University and joined the School of Electrical and Information Engineering of Tianjin University in 2015. He has received the SHENZHIKANG Teaching Award from Tianjin University and his research areas include Embedded Computing and Control, Intelligent Robotic Systems.

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