基于模型的重型商用车空气悬架故障检测与隔离

Model-based Fault Detection and Isolation of Air Suspension for Heavy Commercial Vehicle

为了实现重型商用车空气悬架系统故障的检测与隔离,本文将采用基于模型的结构分析法进行故障的检测和隔离分析,并确定需要布置的传感器。首先综合空气悬架系统的结构建立系统的数学模型,然后根据故障对系统参数和变量的影响,建立系统的故障模型;最后利用结构分析法判断故障的可检测性和可隔离性,并确定需要增加的最小传感器集合,以实现对所有故障进行隔离。通过分析,空气悬架系统需要增加四个传感器,才能将文中涉及的故障检测和隔离。

In order to realize the fault detection and isolation of air suspension system of heavy commercial vehicle,the model-based structural analysis method is used and the sensors to be arranged are analyzed in this paper.Firstly,the structure of the air suspension system is integrated to establish the mathematical model of the system,and then the fault model of the system is established according to the influence of fault on system parameters and variables.Finally,the structural analysis method is used to judge the detectability and isolation of faults,and determine the minimum sensor set to be added to isolate all faults.Through the analysis,the air suspension system needs to add four sensors in order to detect and isolate the faults involved in this paper.