An Adaptive Estimation of Nonlinear Structural Deformations by Using the Ensemble Kalman Filter

• AKITA Takeshi

  Department of Mechanical Science and Engineering, Chiba Institute of Technology

• TAKAKI Ryoji

  Institute of Space and Astronautical Science, JAXA

• KOGISO Nozomu

  Department of Aerospace Engineering, Osaka Prefecture University

Abstract

An adaptive estimation method for nonlinear structural deformations is presented. The method is based on the ensemble Kalman filter (EnKF), which can effectively handle nonlinearities in structural models by using the Monte-Carlo simulation. In this study, a self-tuning algorithm for the system noise in the conventional Kalman filter is extended and applied for tuning in the EnKF. To verify the effectiveness of the presented method, a numerical experiment was performed for a deployable frame structure system that contains the typical nonlinearities of space deployable structures, that is, the geometrical nonlinearity in flexible members and the cable nonlinearity resulting from its slackened state.

Journal

• TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN

  TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN 14 (ists30), Pc_43-Pc_49, 2016

  THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES

Keywords

• Advanced Space Structures
• Kalman Filter
• Smart Structure
• Finite Element Method
• Data Assimilation

Details

• CRID: 1390001205320466048
• NII Article ID: 130005180580
• DOI: 10.2322/tastj.14.pc_43
• ISSN: 18840485
• HANDLE: 10466/15712
• Web Site: https://omu.repo.nii.ac.jp/records/357
• Web Site: https://www.jstage.jst.go.jp/article/tastj/14/ists30/14_Pc_43/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed