Primary Parameter Detection of Unmanned Aerial Vehicle Radio Energy Transmission System and Controller Design

UAV wireless power transfer (WPT) systems face a conflict between lightweight and robustness. Traditional control relies on communication modules, adding weight and lacking stability in complex electromagnetic environments. To resolve this, a primary-side parameter detection control scheme without receiver communication is proposed, constructing a "parameter self-sensing-robust control" collaborative optimization framework. S-P topology enables no-load parameter detection and load decoupling; robustness is enhanced via generalized state space averaging model reduction (Hankel singular value analysis) and coprime factor perturbation Hloop shaping controller. Electromagnetic field simulation optimizes coupling mechanism design for efficient energy transfer. Experiments validate primary-side mutual inductance detection accuracy, receiver state estimation precision, and communication-free closed-loop control implementation. The designed H controller exhibits good robustness in non-minimum phase systems, verifying its effectiveness in complex electromagnetic environments. This research provides theoretical support and implementation paths for UAV WPT engineering applications, advancing smart city infrastructure upgrading.