Experimental verification of general extended Kalman Filter with unknown inputs
The extended Kalman filter(EKF)is an effective method for real-time identification of structural parameters and states by using partially measured structural dynamic responses and external excitation information,and it has been widely used in the field of structural health monitoring and vibration control.However,the traditional EKF approach is only applicable when the information of external inputs to structures is available.Since it is difficult to measure all external excitations of the structure in actual situation,the application of traditional EKF has great limits.In recent years,some improved EKF methods applied with unknown inputs(EKF-UI)have been proposed,but they are not the direct extension of conventional EKF and most of them have certain limitations,for example,the acceleration responses at the positions of unknown inputs must be measured and it will lead to the drifts in the estimated structural displacements.
Extended Kalman filter Unknown inputs Data fusion Experimental verification
Xianzhi Li Ying Lei
Department of Civil Engineering,Xiamen University,Xiamen 361005,China
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
2798-2800
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）