Fault detection using unknown input observers for heavy-haul trains
(ECP)brake systems.A longitudinal dynamical model which has been successfully validated is used to simulate the actual situation.Based on the model,a set of unknown input observers which are adopted to estimate locomotives state is constructed,and observers can determine the existence and place of the faulty locomotive.Since heavy-haul trains are much longer than general passenger trains,the longitudinal dynamical model is decomposed into smaller subsystems which can be detected locally.To estimate the fault parameter after a failure occurred,a minimal extremum seeking algorithm was presented for adaptive approximation.Simulation results provide evidence of the effectiveness of the proposed fault detection scheme.
Fault detection Unknown input observers Extremum seeking Electronically controlled pneumatic brake systems
Yu Zhiheng Peng Jun Liu Weirong Qin Yufu Yi Jiandui
School of Information Science and Engineering,Central South University,Changsha 410075,China;Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Changsha,Hunan,410075,China
国际会议
长沙
英文
1395-1400
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）