Optimization of Lightweight and Misalignment Tolerance in Drone Wireless Charging Systems with Multi-parameter Optimization Designs

This paper investigates wireless charging systems for drones, focusing on key issues such as improving charging efficiency, enhancing misalignment tolerance, lightweight design, and multi-parameter optimization. First, the design and optimization of the resonant compensation network were conducted to improve the charging efficiency of the system. Second, the control system for wireless charging was optimized to enhance misalignment tolerance in complex charging environments. Finally, a multi-objective optimization of the magnetic coupling mechanism parameters in the wireless charging system was performed using the second-generation Non-dominated Sorting Genetic Algorithm (NSGA-II) and Latin Hypercube Sampling (LHS), aiming to enhance the system's overall lightweight and anti-misalignment performance. Experimental results show that the proposed optimization method significantly improves charging performance and provides an effective design strategy for parameter optimization in wireless drone charging systems.