ATO Fault Detection Based on UIO Method
Renshi Luo · Journal of the China Railway Society · 2013
On-board sensor fault detection turns out essential for the realization of functional reliability of driverless Automatic Train Operation(ATO)of Communication Based Train Control(CBTC)system.In this paper three scenarios of sensor faults affecting the functionality and performance of ATO were modelled.A model based fault detection isolation(FDI) scheme,namely,the unknown input observer(UIO) method,was employed to detect the possible ATO faults in existence of unknown disturbances and noises.Furthermore,residuals and thresholds were set to reduce the sensitivity to unknown disturbances and noises and so to reduce the false alarm rate.The simulation results show as follows:The proposed method can accomplish detection of three fault modes of train control;the detection information serves to offer vehicles with ATO devices the parameters for generation of the real-time optimized schedule curve and to facilitate early warning with man-driving vehicles;the detection information are also useful in maintenance of vehicles.