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原文传递 Actuator Fault Diagnosis for ECAS System Based on Extended Kalman Filter Bank
题名: Actuator Fault Diagnosis for ECAS System Based on Extended Kalman Filter Bank
正文语种: 中文
作者: Chen Long Shan Haiqiang Xu Xing
作者单位: of Automotive and Traffic Engineering, Jiangsu University;Automotive Engineering Research Institute, Jiangsu University of Automotive and Traffic Engineering, Jiangsu University
关键词: electronically controlled air suspension (ECAS) system actuator fault detection and isolation extended kalman estimation algorithm filter bank
摘要:   Aiming at the problem that actuator faults make control effect worse in the process of adjusting the ride height for elec- tronically controlled air suspension(ECAS)system, a method that can diagnose the actuator fault for ECAS system is presented. First- ly, the models of 1/2 ECAS system and actuator faults are established. Then, extended kalman filters, which are designed by extended kalman estimation algorithm, are used to establish the residual observer bank considering the nonlinear characteristics of the ECAS sys- tem. Finally, according to the state estimations achieved by extended kalman filter bank, output residuals are obtained and can be com- pared with a threshold to detect and isolate the actuator faults. The simulation results show that the presented method can successfully di- agnose actuator fault of ECAS system.
会议日期: 20171024
会议举办地点: 上海
会议名称: 第19届亚太汽车工程年会暨2017中国汽车工程学会年会
出版日期: 1024-01-20
母体文献: 第19届亚太汽车工程年会暨2017中国汽车工程学会年会论文集
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