摘要
一般认为两个以上传感器同时发生故障的概率较小,但实际上不能排除其发生的可能性;提出了一种改进的多重故障假设方法来解决航空发动机控制系统多传感器同时发生软故障的问题,这一方法采用一组卡尔曼滤波器,每个滤波器对应一个被检测传感器的故障模态;采用残差加权二乘方处理滤波残差并与门限值作比较来判断是否发生故障;仿真结果表明,所提出的方法能有效解决多传感器软故障的检测与隔离问题。
In real flight, multiple sensors of aircraft engine control system may fault at a time. In order to solve this problem, a revised multiple-failure-hypothesis based testing is investigated. This approach uses multiple Kalman filters, and each of Kalman filter is designed based on a specific hypothesis for detecting specific sensors fault, and then uses WSSR （Weighted Sum of Squared Residual） to deal with Kalman filter residuals, and residual signals are compared with threshold in order to make fault detection decisions. The simulation results show that the proposed method can be used to detect multiple sensors soft failures fast and accurately.
出处
《计算机测量与控制》
CSCD
2007年第5期585-586,618,共3页
Computer Measurement &Control
