并行鲁棒观测器对发动机减小转速信号的故障分离

Fault Isolation of Aeroengine Speed Decreasing Signal Based on Parallel Multiple Robust Observers

通过对减小转速故障信号产生机理的研究 ,提出了一种基于多重模型假设下的并行鲁棒观测器残差输出的故障分离方法 ,建立了实际系统的正常工作状态和 4种故障工作模式 ,将该方法应用于某型航空涡扇发动机导致减小转速信号产生的传感器的故障检测与分离。数字仿真和误差分析结果显示 ,文中提出的方法可靠性高 ,故障定位准确 ,对发动机减小转速信号的故障分离行之有效。

Through researching of the mechanism causing engine speed decreasing signal, a method of fault isolation for certain turbofan aeroengine based on parallel multiple robust observers was proposed. Normal condition and four fault modes for the actual system were established. Then the method was applied to fault detection and isolation of the aeroengine sensors that cause the speed decreasing signal. Results of numerical simulation and error analysis show that this method is highly reliable and highly accurate in fault isolation.