激光供能无人机的一种优化跟踪算法

航天事业的发展以及新能源技术的开发，使得小型电动无人机在现代战争、科学研究等方面具有较高的应用价值。激光无线能量传输技术能有效解决小型电动无人机续航时间短的问题，极大提高了无人机的工作能效。以无人机激光供能系统结构原理为基础，针对小型电动无人机激光无线供能的特点，提出了一种最大功率点优化跟踪方法:即采用恒定电压法（CV法）和萤火虫算法（FA法）相结合的优化控制算法，在激光投射到无人机上的光伏电池板上后，通过对无人机激光无线充电过程中最大功率点的跟踪，提高激光利用率及充电稳定性。并且通过数值仿真，验证了所提算法的准确性和适用性。

Optimal tracking algorithm for laser powered unmanned aerial vehicles

With the development of space industry and new energy technology,small electric unmanned aerial vehicles(UAVs)have higher application value in modern warfare and scientific research,etc.The proposal of laser wireless energy transmission technology can effectively solve the problem of short life of small electric UAV,and greatly improve the work efficiency of UAV.Based on the structure principle of UAV laser energy supply system,a maximum power point optimization tracking method for the characteristics of laser wireless power supply to small electric UAV was proposed,which referred to the optimal control algorithm combined with the constant voltage(CV)method and the firefly algorithm(FA).After the laser was projected onto the photovoltaic panel on the drone,by tracking the maximum power point during the drone laser wireless charging process,the laser utilization got higher and the charging was more stable.Finally,numerical simulation was conducted and results can verified the feasibility and efficiency of the proposed algorithm.