摘要
无人机在实际飞行时存在不同数值大小的行驶方位角,方位角影响速率变换过程,导致重复校准多组速率参数。针对该问题,本文研究了基于大数据分析算法的无人机拍摄速率自动校准过程。利用大数据分析算法处理无人机输出指标参数,综合矢量区间内的相位数值差,将速率频率处理为数值方差的形式,平衡拍摄速率偏差,采用点拓展函数生成一个速率的二维分布,构建为圆阵形式的校准过程。搭建无人机拍摄测试平台,大数据量测拍摄速率参数矢量,应用基于自适应阵列的自动校准方法、基于固有频率的自动校准方法,以及所设计的自由校准方法进行测试。测试结果表明:所设计的自动校准方法重复校准的速率参数最少,校准效果最佳。
In the actual flight,there are different values of driving azimuth,which affects the rate transformation process,leading to repeated calibration of multiple sets of rate parameters.For this problem,the automatic calibration process of unmanned aerial vehicle(UAV)shooting rate based on big data analysis algorithm is studied.The big data analysis algorithm is used to process the UAV output index parameters,synthesize the phase value difference in the vector interval,treat the rate frequency into the form of numerical variance,balance the shooting rate deviation,and use the point expansion function to generate a two-dimensional distribution of rate,constructing a calibration process in the form of circular array.UAV shooting test platform,large data measuring shooting rate parameter vector,application based on adaptive array,automatic calibration method based on natural frequency and the free calibration method designed to test,test results show that the design of the automatic calibration method has the least repeated calibration rate parameters and the best calibration effect.
作者
方立雯
FANG Liwen(Shandong University of Engineering and Vocational Technology,Jinan 250200,Shandong,China)
出处
《流体测量与控制》
2023年第5期19-23,共5页
Fluid Measurement & Control
基金
山东省教育厅教育评价改革项目(2023119)。
关键词
大数据分析算法
无人机
拍摄速率
自动校准
行驶方位角
重复校准
big data analysis algorithm
unmanned aerial vehicle(UAV)
shooting rate
automatic calibration
driving azimuth
repeated calibration
