基于自适应观测器的列车牵引系统执行器故障诊断

Adaptive Observer Based Fault Diagnosis for High-speed Train Traction System with Actuator Faults

针对高速列车牵引系统执行器故障,提出了一种基于自适应观测器的故障诊断方法。针对高速列车纵向运动模型参数不易获得的特点,建立了参数未知的列车动态数学模型。考虑到高速列车牵引系统具有多个执行器,其故障发生时间及位置未知,针对不同故障位置,设计了基于自适应技术的故障诊断观测器,观测器相关参数由自适应律更新,通过观测器与列车系统匹配实现故障诊断,基于李雅普诺夫稳定性定理,证明了匹配观测器的收敛性和不匹配观测器无法收敛,从而诊断出故障位置及时刻。最后通过一个高速列车仿真例子验证了所提故障诊断方法的有效性。

In this paper,an adaptive observer based fault diagnosis scheme is proposed for high-speed train traction system with actuator faults. Since it is difficult to obtain the accurate value of the train parameters,the longitudinal dynamics model with unknown parameters is trLtroduced to study the fault diagnosis ple actuators m the high-speed train traction system with the unknown failure tme and failure patterns,an adaptive technique based fautt diagnosis observer is designed for different failure patterns,in which the observer parametersare updated by adaptive laws. Through the match of observer and train system,the fautt position can be diagnosed.Based on Lyapunov functions,it is proved that the observer errors can be convergent under the matcheconvergent when unmatched. Simulation results on a high-speed train model are presented to illustrate the perform-ance of the developed adaptive observer based fautt diagnosis scheme.