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A system for automatic electrical and optical characterization of microelectromechanical devices

机译:一种用于微机电装置的自动电学和光学表征的系统

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A new optical method for characterizing the performance of microelectromechanical systems (MEMS) is described that is significantly faster and simpler than previously described optical methods. The method uses video imaging under continuous illumination to effectively remove the upper limit imposed by other methods on the frequency of motions that can be measured. It can be used to measure the motions of any visible structure, whether or not an electrical or optical sensor for that motion has been incorporated. The magnitude of the displacement of a target, such as the edge of a sinusoidally vibrating shuttle mass, is obtained from a single frame of video taken during motion plus a reference frame taken when the target is at rest. The speed of this technique facilitates hands-on testing of prototypes and is especially attractive for production environments. An automated MEMS microresonator testbed is described that performs on-line resonance curve parameter extractions of resonant frequency (f/sub 0/) and quality factor (Q) from electrical measurements, which are derived from output comb-drive current measurements using established methods, and from simultaneous optical measurements using the new method. Results obtained using these methods for design evaluation of microfabricated lateral resonators are discussed, and favorable benchmark comparisons of the optical results with results from a MEMS testbed at the Massachusetts Institute of Technology are presented.
机译:描述了一种表征微机电系统(MEMS)性能的新光学方法,该方法比先前描述的光学方法明显更快,更简单。该方法使用连续照明下的视频成像来有效消除其他方法对可测量运动频率施加的上限。它可以用于测量任何可见结构的运动,无论是否已为该运动合并了电或光学传感器。从运动过程中拍摄的单个视频帧加上目标静止时获取的参考帧,可以获取目标位移的大小(例如正弦振动的往复运动块的边缘)。这种技术的速度促进了原型的动手测试,并且对于生产环境特别有吸引力。描述了一种自动MEMS微谐振器测试台,该测试台可以从电测量中进行共振频率(f / sub 0 /)和品质因数(Q)的在线共振曲线参数提取,这些方法是使用已建立的方法从输出梳状驱动电流测量中得出的,并使用新方法同时进行光学测量。讨论了使用这些方法对微型横向谐振器进行设计评估的结果,并给出了光学结果与麻省理工学院MEMS测试台的有利基准比较。

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