基于遥测数据分析的无人机故障诊断系统设计

传统无人机故障诊断系统故障传感器与故障算法间的逻辑变量存在差值,当故障点存在于传感器结构内部时,无法及时感知并反馈故障数据,导致系统软件部分分析算法分析异常,故障信号诊断准确性差,为此提出基于遥测数据分析的无人机故障诊断系统设计;引入遥测数据分析技术,建立基于遥测数据分析的故障信号诊断硬件,创建故障数据采集单元、故障数据调理单元、故障数据通信单元,并在三大硬件单元中分别采用M1401 8路模量数据采集卡、CY7C68013A-56PVXI多模数据分析处理器、EP3C16Q240C8N通信IC,配合外围器件,构建起基于遥测数据分析的无人机故障信号诊断平台;配合硬件性能,软件部分分别对故障信号诊断策略与算法进行了优化设计;通过实验数据表明:所设计系统对无人机软件故障信号的检测准确率为97.3%,硬件信号故障的检测准确率为98.6%,能够实现对故障信号的精准诊断,有效解决传统诊断系统存在的问题。

Design of UAV Fault Diagnosis System Based on Telemetry Data Analysis

There is a difference between the logic variables between the fault sensor and the fault algorithm in the traditional UAV fault diagnosis system. When the fault point exists in the sensor structure, the fault data can not be sensed and fed back in time, which leads to the abnormal analysis of the system software analysis algorithm, and the fault diagnosis accuracy is poor. Therefore, the design of UAV fault diagnosis system based on telemetry data analysis is proposed. This paper introduces telemetry data analysis technology, establishes fault diagnosis hardware based on telemetry data analysis, creates fault data acquisition unit, fault data conditioning unit and fault data communication unit, and adopts m1401 in the three hardware units The 8-channel module data acquisition card, cy7c68013a-56pvxi multi-mode data analysis processor, ep3c16q240c8n communication IC are used to build UAV fault diagnosis platform based on telemetry data analysis. With the hardware performance, the software part optimizes the fault diagnosis strategy and algorithm. The experimental data show that: the design system can achieve accurate fault diagnosis in three dimensions of UAV software fault, hardware fault and control fault, and effectively solve the problems of traditional diagnosis system.