A Self-Mixing Laser Sensor Design With an Extended Kalman Filter for Optimal Online Structural Analysis and Damping Evaluation

We have developed a new algorithm based on the extended Kalman filter in order to improve the resolution of a self-mixing (SM) optical displacement sensor. This noncontact sensor, which provides vibration measurement with a very high accuracy, can be used for online quality control, for example, mea...

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Bibliographic Details
Published inIEEE/ASME transactions on mechatronics Vol. 12; no. 3; pp. 387 - 394
Main Authors Bes, C., Belloeil, V., Plantier, G., Gourinat, Y., Bosch, T.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2007
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1083-4435
1941-014X
1941-014X
DOI10.1109/TMECH.2007.897287

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Summary:We have developed a new algorithm based on the extended Kalman filter in order to improve the resolution of a self-mixing (SM) optical displacement sensor. This noncontact sensor, which provides vibration measurement with a very high accuracy, can be used for online quality control, for example, measuring the damping of excited mechanical structures. This SM sensor subject to weak feedback has been tested in comparison with a commercial vibrometer in order to measure the frequency response function (FRF) of a plate with a passive damping to be characterized, and to show the efficiency of a damping treatment.
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ISSN:1083-4435
1941-014X
1941-014X
DOI:10.1109/TMECH.2007.897287