船载无人机自稳定无线充电系统设计
Design of self-stabilizing wireless charging system for shipborne unmanned aerial vehicles
陆智强 1李伟华 1庄子昊 2张光于2
作者信息
- 1. 暨南大学 轨道交通研究院,广东 珠海 519000;暨南大学 国际能源学院,广东 珠海 519000
- 2. 暨南大学 国际能源学院,广东 珠海 519000
- 折叠
摘要
针对海域作业无人机续航时间较短和充电平台易受扰动产生动态移动的问题,设计了一种船载无人机自稳定无线充电系统.该系统采用 STM32 单片机为主控核心,包括了载机端的Stewart自稳定平台和无线充电圆台,无人机端的电量监管模块以及PC端的监测上位机,其中平台姿态数据和电池电量数据都经过卡尔曼滤波算法的处理.经过测试,Stewart平台在一定范围的扰动下能够实现无线充电圆台平台的稳定.无线充电圆台能够满足无人机无线充电需求,同时上位机能够接收到无人机的实时电量数据并对整个充电过程实时监控.
Abstract
In response to the short endurance time of unmanned aerial vehicles(UAVs)operating in the sea area and the dynamic movement of charging platforms that are susceptible to disturbance,a self-stabilized wireless charging system for ship-borne UAVs has been designed.The system uses the STM32 microcontroller as the main control core,including the Stewart self-stabilized platform and wireless char-ging round table on the carrier side,the power monitoring module on the UAV side,and the monitoring host computer on the PC side.The platform attitude data and battery power data are processed by Kalman filtering algorithm.Through testing,the Stewart platform can achieve stability of the wireless charging round table platform under certain levels of disturbance.The wireless charging round table can meet the wireless charging requirements of UAVs,while the host computer can receive real-time power data from UAVs and monitor the entire charging process in real time.
关键词
Stewart平台/卡尔曼滤波/无线充电系统/STM32单片机/锂电池电量监管Key words
Stewart platform/Kalman Filter/wireless charging system/STM32 microcontroller/lithi-um battery capacity monitoring引用本文复制引用
基金项目
广东省大学生创新创业训练计划(S202310559038)
出版年
2024
NETL
NSTL
万方数据