A procedure for continuous estimation of system input force and states

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Downloads (Pure)

Abstract

In this contribution a procedure for continuous reconstruction of system input force, along with estimation of system states is presented. For the sake of online implementation, a sliding time-window is adopted. The system input force is initially recovered from acceleration response over a finite-length time-window, using regularization technique. Afterwards, the recovered input force is, if necessary, fine-tuned, and the system states are estimated by application of the Kalman filtering, in order to deal with measurement uncertainty and unknown actual initial conditions. The successive application of regularization and Kalman filtering removes the obstacle of the unknown initial conditions of the first time-window. The initial conditions of the next time-windows are, in fact, the system states at the end of the previous time step. In order to resolve response data incompleteness, the problem is projected onto modal coordinates, while system modal parameters and mode shapes can be achieved by means of output-only techniques. The application of the proposed method demonstrates the capability of the proposed method in continuous identification of system input and states of a weather station tower.
Original languageEnglish
Title of host publicationProceedings of the 6th European Conference on Computational Mechanics (Solids, Structures and Coupled Problems) ECCM 6
Subtitle of host publication7th European Conference on Computational Fluid Dynamics ECFD 7
EditorsRoger Owen, René de Borst, Jason Reese, Chris Pearce
Place of Publication[Barcelona, Spain]
Pages2442-2450
Number of pages9
Publication statusPublished - 30 Jun 2018
Event6th European Conference on Computational Mechanics and 7th European Conference on Computational Fluid Dynamics 2018 - Glasgow, United Kingdom
Duration: 11 Jun 201815 Jun 2018

Conference

Conference6th European Conference on Computational Mechanics and 7th European Conference on Computational Fluid Dynamics 2018
Abbreviated titleECCM - ECFD 2018
CountryUnited Kingdom
CityGlasgow
Period11/06/1815/06/18

Keywords

  • input/states estimation
  • Kalman filter
  • regularization

Fingerprint Dive into the research topics of 'A procedure for continuous estimation of system input force and states'. Together they form a unique fingerprint.

Cite this