南京航空航天大学学报（英文版）2022，Vol.39Issue(4)：467-481,15.
分布式控制系统下APU部件和传感器的混合故障诊断与隔离
Hybrid Fault Diagnosis and Isolation for Component and Sensor of APU in a Distributed Control System
摘要
Abstract
This paper addresses the gas path component and sensor fault diagnosis and isolation (FDI) for the auxiliary power unit (APU). A nonlinear dynamic model and a distributed state estimator are combined for the distributed control system. The distributed extended Kalman filter(DEKF)is served as a state estimator,which is utilized to estimate the gas path components'flow capacity. The DEKF includes one main filter and five sub-filter groups related to five sensors of APU and each sub-filter yields local state flow capacity. The main filter collects and fuses the local state information,and then the state estimations are feedback to the sub-filters. The packet loss model is introduced in the DEKF algorithm in the APU distributed control architecture. FDI strategy with a performance index named weight sum of squared residuals(WSSR)is designed and used to identify the APU sensor fault by removing one sub-filter each time. The very sensor fault occurs as its performance index WSSR is different from the remaining sub-filter combinations. And the estimated value of the soft redundancy replaces the fault sensor measurement to isolate the fault measurement. It is worth noting that the proposed approach serves for not only the sensor failure but also the hybrid fault issue of APU gas path components and sensors. The simulation and comparison are systematically carried out by using the APU test data,and the superiority of the proposed methodology is verified.关键词
辅助动力装置/气路故障/传感器故障诊断与隔离/丢包模型/卡尔曼滤波器Key words
auxiliary power unit(APU)/gas path fault/sensor fault diagnosis and isolation/packet loss model/Kalman filter分类
航空航天引用本文复制引用
鲁峰,殷梓晗,周鑫,张宇飞,王琴,黄金泉..分布式控制系统下APU部件和传感器的混合故障诊断与隔离[J].南京航空航天大学学报（英文版）,2022,39(4):467-481,15.基金项目
This work was supported by the Nation-al Natural Science Foundation of China(No.91960110),the National Science and Technology Major Project(No.2017-I-0006-0007),and the Fundamental Research Funds for the Central Universities(NP2022418). （No.91960110）
