An UKF-UI for the identification of nonlinear structural systems and unknown input

摘要：

　　The unscented Kalman filter(UKF)has been proven to be an efficient approach for the identification of nonlinear systems using partial structural responses.However,the conventional UKF approach requires the external excitations should be available for the identification,which limits the applications of the conventional UKF approach.There have been very few researches on UKF with unknown input.In this paper,it is aimed to directly extend the conventional UKF approach to a novel unscented Kalman filter with unknown input(UKF-UI)for simultaneous identification of nonlinear structural systems and unknown external inputs.Based on the procedures of the conventional UKF,the analytical recursive solutions of theproposed UKF-UI are derived in an analogous approach.Moreover,data fusion of partially acceleration and displacement responses is applied to prevent the drifts in the estimated structural displacements and unknown external inputs.Such a presented analytical solution of UKF-UI is not available in the previous literature.Numerical examples are used to demonstrate the effectiveness of the proposed UKF-UI approach for simultaneous identification of nonlinear structural systems and unknown external excitations using data fusion of partially measured structural responses.

关键词： Unscented Kalman filter unknown inputs nonlinear structural system partial measurements data fusion

作者: Y.Lei D.D.Xia

作者单位: School of Architecture and Civil Engineering,Xiamen University,Xiamen,China School of Civil & Architecture Engineering,Xiamen University of Technology,Xiamen,China

会议类型: 国际会议

会议名称: The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)

会议地点: 青岛

会议语种:英文

页码: 2795-2797

在线出版日期: 2018-07-22（万方平台首次上网日期，不代表论文的发表时间）