Segmented MEMS mirrors have the potential to revolutionize optical designs for imaging and beam directing systems. Foveated imaging, adaptive optical zoom, and enhanced multi-spectral capability have already been demonstrated at Sandia National Laboratories using MEMS elements. The high stroke and individual segment control with piston and 2-directional tilt is very attractive for these and other applications. To address the challenge of characterizing segmented MEMS mirrors, a novel closed loop optimization algorithm has been developed to drive the mirrors to a desired shape utilizing feedback from a WYKO interferometer. This method has proved to produce more accurate results than previous attempts to drive the mirror with an open loop model.


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    Titel :

    Characterization algorithm for segmented MEMS mirrors


    Beteiligte:
    Soehnel, Grant (Autor:in) / Bagwell, Brett (Autor:in) / Wick, David (Autor:in) / Cowan, William (Autor:in)


    Erscheinungsdatum :

    2009-03-01


    Format / Umfang :

    438110 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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