Actuator Fault Diagnosis for ECAS System Based on Extended Kalman Filter Bank
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.
electronically controlled air suspension (ECAS) system actuator fault detection and isolation extended kalman estimation algorithm filter bank
Chen Long Shan Haiqiang Xu Xing
School of Automotive and Traffic Engineering, Jiangsu University;Automotive Engineering Research Ins School of Automotive and Traffic Engineering, Jiangsu University
国内会议
上海
英文
882-887
2017-10-24（万方平台首次上网日期，不代表论文的发表时间）