摘要
本文针对高空长航时太阳能无人机的曲面形状的机翼和飞行姿态,提出了一种光伏阵列发电功率预测模型,实现太阳能无人机光伏发电系统输出功率的准确预测。首先将机翼曲面上表面分为三段,根据每段的光伏组件铺设仰角分别计算其发电功率。通过具体算例,计算了海拔高度和纬度在全年内对光伏阵列日水平输出能量的影响。同时通过算例,分析了无人机的飞行姿态,包括偏航角、俯仰角以及滚转角对无人机光伏发电系统输出功率的影响。结果表明光伏输出功率预测模型能够实现对无人机光伏发电系统输出功率的准确预测,对无人机的航迹优化,能源系统控制具有重要的意义。
This paper proposed a prediction model for photovoltaic array power generation on the curved wings of solar-powered unmanned aerial vehicle(UAV)at different attitude,accurate prediction of output power was achieved.First,the surface of the wing was divided into three sections,and the power generation of each section was calculated based on the pitch angle of the photovoltaic module installation.The impact of altitude and latitude on the daily output power throughout the year was calculated through specific examples.At the same time,the influence of the flight attitude of the UAV,including yaw angle,pitch angle,and rolling angle,on the output power was analysed.The results indicated that the proposed model could accurately predict the output power,and was of great significance for the optimization of UAV trajectories and energy system control.
作者
许坦奇
吕冬翔
虞祥瑞
赵东明
李钏
呼文韬
肖平
张丽平
刘文柱
孟凡英
刘正新
XU Tanqi;LV Dongxiang;YU Xiangrui;ZHAO Dongming;LI Chuan;HU Wentao;XIAO Ping;ZHANG Liping;LIU Wenzhu;MENG Fanying;LIU Zhengxin(The Research Center for New Energy Technology,State Key Laboratory of Materials for Integrated Circuits,Shanghai Institute of Microsystem and Information Technology(SIMIT)Chinese Academy of Sciences(CAS),Shanghai 201800,China;University of the Chinese Academy of Sciences,Beijing 100049,China;The Eighteenth Research Institute of China Electronics Group,Tianjin 300384,China;Huaneng Clean Energy Research Institute,Beijing 102209,China)
出处
《功能材料与器件学报》
CAS
2024年第3期113-119,共7页
Journal of Functional Materials and Devices
基金
国家自然科学基金资助项目(No.62004208,No.62074153)
上海自然科学基金项目(No.22ZR1473200)
国家重点研发计划(No.2022YFC2807104)
高效超薄异质结太阳电池及组件关键技术研究(No.HNKJ22-H154)
关键词
高空长航时太阳能无人机
太阳辐照度计算
光伏发电功率预测
Solar-powered unmanned aerial vehicle
Solar irradiance calculation
Photovoltaic output power prediction