Deconvolution Kalman filtering for force measurements of revolving wings

Vester R., Percin M., van Oudheusden B.

MEASUREMENT SCIENCE AND TECHNOLOGY, vol.27, no.9, 2016 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 9
  • Publication Date: 2016
  • Doi Number: 10.1088/0957-0233/27/9/095302
  • Journal Indexes: Science Citation Index Expanded, Scopus


The applicability of a deconvolution Kalman filtering approach is assessed for the force measurements on a flat plate undergoing a revolving motion, as an alternative procedure to correct for test setup vibrations. The system identification process required for the correct implementation of the deconvolution Kalman filter is explained in detail. It is found that in the presence of a relatively complex forcing history, the DK filter is better suited to filter out structural test rig vibrations than conventional filtering techniques that are based on, for example, low-pass or moving-average filtering. The improvement is especially found in the characterization of the generated force peaks. Consequently, more reliable force data is obtained, which is vital to validate semi-empirical estimation models, but is also relevant to correlate identified flow phenomena to the force production.