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Position sensing and control of piezoelectric tubes for the atomic force microscope.

机译:原子力显微镜压电管的位置检测和控制。

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摘要

The Atomic Force Microscope (AFM) employes piezoelectric actuators for precise movements. Piezoelectrics have nonlinear properties such as hysteresis, creep, and nonlinear sensitivity that can distort AFM images. This dissertation presents a control system that uses sensing and feedback to reduce the effects of the piezo nonlinearity on images. An optical lever sensor was developed to measure the piezo's position by measuring the bending angle associated with the piezo's expansion. Using the sensor, a careful study of the piezo's behavior was made and a linear MIMO model was found. The model aided in design of controllers for tracking signals commonly used in AFM. The controllers were tested on a functioning AFM. Images of a calibration reference sample were taken with and without feedback. The image with position control had less distortion than the image without control.; The second part of the dissertation presents the development of an instrument for measuring protein-antibody binding using arrays of microcantilevers. The microcantilever deflect in response to surface strain caused by the selective binding of antibodies to a protein coating on the microcantilever. The instrument uses an automated scanning optical lever to measure the strain induced deflection of the microcantilevers.
机译:原子力显微镜(AFM)使用压电致动器进行精确运动。压电具有非线性特性,例如磁滞,蠕变和非线性灵敏度,这些特性会使AFM图像失真。本文提出了一种控制系统,该系统利用传感和反馈来减少压电非线性对图像的影响。开发了一种光学杠杆传感器,通过测量与压电体膨胀相关的弯曲角度来测量压电体的位置。使用该传感器,仔细研究了压电的行为,并找到了线性MIMO模型。该模型有助于设计用于跟踪AFM中常用信号的控制器。控制器已在正常运行的AFM上进行了测试。在有和没有反馈的情况下拍摄校准参考样品的图像。具有位置控制的图像比没有控制的图像具有更少的失真。论文的第二部分介绍了使用微悬臂梁阵列测量蛋白质-抗体结合的仪器的开发。微悬臂梁响应于抗体与微悬臂梁上蛋白质涂层的选择性结合所引起的表面应变而偏转。该仪器使用自动扫描光学杠杆来测量应变引起的微悬臂梁偏转。

著录项

  • 作者

    Daniele, Andrew Nicholas.;

  • 作者单位

    University of California, Santa Barbara.;

  • 授予单位 University of California, Santa Barbara.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 106 p.
  • 总页数 106
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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