摘要
基于卡尔曼滤波器组,建立了航空发动机控制系统传感器故障诊断系统,实现了对单个传感器故障的检测、隔离与重构(FDIA),确保了发动机控制系统即使在传感器故障发生的情况下,依然能安全可靠地工作.同时利用Simulink建立一个通用的发动机传感器故障诊断仿真平台,在此仿真平台上,对故障的诊断进行仿真验证,并分析了测量噪声对故障诊断系统性能的影响,为发动机在线传感器故障诊断系统的实现提供理论依据.
Based on a bank of Kalman filters,an aircraft engine sensor fault diagnostics system was developed,thus enabling fault detection,isolation and accommodation （FDIA） of individual sensor faults and safe operation of engine control system even in the case of sensor failure. A universal graphical simulation platform for aircraft engine sensor fault diagnostics was designed using Simulink software. Simulations were performed on the platform to verify the feasibility of the sensor fault diagnostics system. The sensor noise impact on the performance of sensor fault diagnostics system was also analyzed,offering valuable reference for on-line aircraft sensor fault diagnostics.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2008年第2期396-400,共5页
Journal of Aerospace Power
关键词
航空
、航天推进系统
卡尔曼滤波器组
传感器故障诊断
数据重构
仿真平台
aerospace propulsion system
a bank of Kalman filters
sensor fault diagnostics
data accommodation
simulation platform
