无人机液压系统遥测数据误差分析研究

Analysis of UAV hydraulic system telemetry data error

无人机机载液压系统关键部位液体进出口压力数据采集和分析,对航空无人机飞行过程中的飞行状态及安全监测起着举足轻重的作用。通过检测传感器从液压系统采集压力数据,并利用电流信号将关键部位压力数据进行转换存储。在采集及转换过程中,由于元器件自身误差及测量方法的缺陷等原因,数据结果往往包含人为或环境的影响而产生的误差。针对此问题,结合误差理论与实际工程,通过软硬件滤波方法、硬件改善等方法逐步减小测量数据中的误差。通过实验表明:测试系统采集数据稳定可靠,数据误差也得到改善。

In UAV flight, UAV airborne key parts of the hydraulic system fluid outlet pressure data acquisition and analysis plays an important role in UAV flight status, and safety monitoring. By detecting sensor pressure from the hydraulic system to collect data,and use key parts of the current signal will be converted pressure data storage. In the acquisition and conversion process, due to their error and measurement methods for component defects and other reasons,the data results often contain human or environmental effects arising from errors. In this paper, by using the error theory and practical engineering, hardware and software filtering method, errors in the data has been reduced gradually. Through experiments showed that： the test system is stable and reliable data collection, data errors have also been improved.