基于解析模型的飞控系统执行机构的故障诊断

Analytical Model Based Fault Diagnosis for Actuator of Flight Control System

执行机构在无人机飞行控制系统中发挥着十分重要的作用,对其进行实时的故障诊断很有必要。首先对无人机执行机构的工作原理进行分析,在此基础上建立了无人机执行机构的解析模型,再以模型为参考,对无人机的执行机构进行实时的状态监测和故障诊断;设计了一种基于残差的阈值——改进SPRT联合算法,从残差中提取故障特征,对执行机构的工作状态做出检测和判断;最后,建立了执行机构故障的数学模型,通过在执行机构注入故障模型对文中的设计思路进行仿真验证。结果表明,该联合算法能快速有效地识别出执行机构的典型故障。

The actuator plays a very important role in the flight control system of UAVs, so it is necessary to diagnose the fault in real time. Analysis was made to the working principle of the actuator of UAVs, based on which the analytical model of the actuator was established. With this model, we made real-time status monitoring and fault diagnosis to the actuator. Then, a fault diagnosis algorithm based on residual was designed by combining threshold analysis with Improved SPRT. The fault features were extracted from residuals to detect and determine the working status of the actuator. Finally, a mathematical model of actuator＇s fault was established, and fault models were injected to the actuator to verify it. The result shows that this scheme can identify the common faults of the actuator rapidly and effectively.