无人机机载传感器现场校准方法研究  

Research on Field Calibration Method of UAV Airborne Sensors

作　　者：李胜利 张庆伟 LI Shengli;ZHANG Qingwei(Xi’an ASN Technology Group Co.,Ltd.,Xi'an 710065,China)

机构地区：[1]西安爱生技术集团有限公司,陕西西安710065

出　　处：《通信电源技术》2023年第2期203-206,共4页Telecom Power Technology

摘　　要：无人机(Unmaned Aerial Vehicle,UAV)的自动运行离不开传感器的支持,若传感器中出现误差时,会影响无人机的运行效果。为保证无人机传感器的控制精度,需研究无人机机载传感器现场校准方法。以观察目标偏移的偏离为判断标准,设定无人机机载传感器校准目标。通过灰度像素特征分量,对目标物进行跟踪和识别,在多个尺度因素下构建校准模型。依据超声波测距理论,实现传感器现场校准,完成方法设计。实验结果表明:以不同类型的传感器工作标准为测试前提,对给定的12组温度点进行测定。在所提方法应用下能够将现场校准时间控制在0.2 s内,并且校准后的实测误差为0.02℃,满足最大容许范围,具有应用效果。The automatic operation of the Unmaned Aerial Vehicle(UAV)can not be separated from the support of the sensors.If there is an error in the sensor,the operation effect of the UAV will be affected.To ensure the control accuracy of UAV sensor,the field calibration method of UAV airborne sensor is studied.Set the deviation of the target deviation.The target was tracked and identified by the grayscale pixel feature components,and the calibration model was constructed under multiple scale factors.According to the ultrasonic ranging theory,the sensor field calibration is realized,and the method design is completed.The experimental results show that 12 sets of temperature points are determined on the premise of different types of sensors.Under the application of this method,the field calibration time can be controlled within 0.2 s,and the measured error after the calibration is 0.02℃,which meets the maximum allowable range and has the application effect.

关 键 词：现场校准 机载传感器 无人机(UAV) 校准方法 灰度像素特征分量 校准模型 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]