EKF Based Parameter Identification of LTI System from Seismic Response Measurements. (2016)

• Record Type: Journal Article
• Authors: Mahato, Swarup; Chakraborty, Arunasis
• Is Part Of: Procedia engineering. Volume 144(2016)
• Page Start: 360
• Page End: 365
• Publication Date: 2016
• Subjects: extended Kalman filter -- parameter estimation -- non-stationary excitation -- system identification -- state estimation.; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2016.05.144
• Languages: English
• ISSNs: 1877-7058

Abstract

Abstract: Parameter identification of linear time invariant (LTI) dynamic system using extended Kalman filter (EKF) are presented in this work. The efficiency of the EKF is demonstrated using non-stationary responses. For this purpose, a three storied steel frame is used in the laboratory and the recorded ground motion is applied to measure the acceleration response at the top. Using these responses, the EKF based predictor-corrector algorithm is applied to identify the model parameters. It has been observed that EKF based identification scheme may converge to different system matrices (i.e. stiffness) for different experimental results of the same structure. However, their eigen values (i.e. natural frequency and mode shape) remain same.