Dynamic Load Identification for Structures with Variable Stiffness Based on Extended Kalman Filter

doi:10.16356/j.1005-1120.2022.S.003

Transactions of Nanjing University of Aeronautics & Astronautics

+Advanced Search

Archive > Volume Issue S > 2022(S):16-22. DOI:10.16356/j.1005-1120.2022.S.003 Prev Next

Dynamic Load Identification for Structures with Variable Stiffness Based on Extended Kalman Filter

Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials

Abstract:

We introduce the extended Kalman filter （EKF） method combined with the least square estimation to identify the unknown load acting on the time-varying structure and realize the tracking of the structural parameters of the time-varying system. Firstly， we propose the dynamic load identification method when the unknown parameters are stiffness coefficients. Then， a five-degree-of-freedom slowly-varying-stiffness structure is introduced to verify the effectiveness and the accuracy of the EKF method. The results show that the EKF method can accurately identify unknown loads and structural parameters simultaneously even considering noises in the input data.

Keywords:

Project Supported:

This work was supported in part by the National Natural Science Foundation of China（No.51775270） and the Project of Qatar National Research Fund （No.NPRP11S-1220-170112）

Clc Number:

TB123