A Robust Fault Estimation Scheme for Heavy-haul Trains Equipped with ECP Brake Systems
In this paper,the fault detection and isolation problems(FDI)of heavy-haul trains equipped with electronically controlled pneumatic(ECP)brake system are studied.A longitudinal dynamical model and the fault modes of trains are considered.A fault detection estimator bases on the nonlinear observer is designed to generate residual for detecting fault.After the fault is detected,a group of fault isolation estimators with different residuals and thresholds can be designed,each estimator corresponds to one possible actuator fault of trains.And in each fault isolation estimator,the unknown actuator fault of trains can be estimate simultaneously by introduce a learning algorithm.A simulation analysis is proposed to show the validity of the designed FDI scheme,by using the parameters from the heavy-haul trains system running on Datong-Qinhuangdao railway in China.
fault detection and isolation online nonlinear estimator heavy-haul trains ECP brake systems
Yufu Qin Jun Peng Xiaoyong Zhang Yingze Yang Fu Jiang
School of Information Science and Engineering,Central South University,Changsha,Hunan,410075,China;Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Changsha,Hunan,410075,China
国际会议
长沙
英文
2831-2836
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）