Literature DB >> 29289234

Digitally controlled analog proportional-integral-derivative (PID) controller for high-speed scanning probe microscopy.

Maja Dukic1, Vencislav Todorov2, Santiago Andany1, Adrian P Nievergelt1, Chen Yang1, Nahid Hosseini1, Georg E Fantner1.   

Abstract

Nearly all scanning probe microscopes (SPMs) contain a feedback controller, which is used to move the scanner in the direction of the z-axis in order to maintain a constant setpoint based on the tip-sample interaction. The most frequently used feedback controller in SPMs is the proportional-integral (PI) controller. The bandwidth of the PI controller presents one of the speed limiting factors in high-speed SPMs, where higher bandwidths enable faster scanning speeds and higher imaging resolution. Most SPM systems use digital signal processor-based PI feedback controllers, which require analog-to-digital and digital-to-analog converters. These converters introduce additional feedback delays which limit the achievable imaging speed and resolution. In this paper, we present a digitally controlled analog proportional-integral-derivative (PID) controller. The controller implementation allows tunability of the PID gains over a large amplification and frequency range, while also providing precise control of the system and reproducibility of the gain parameters. By using the analog PID controller, we were able to perform successful atomic force microscopy imaging of a standard silicon calibration grating at line rates up to several kHz.

Entities:  

Year:  2017        PMID: 29289234     DOI: 10.1063/1.5010181

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  3 in total

1.  Optimal field-effect transistor operation for high-resolution biochemical measurements.

Authors:  Son T Le; Seulki Cho; Curt A Richter; Arvind Balijepalli
Journal:  Rev Sci Instrum       Date:  2021-03-01       Impact factor: 1.523

2.  Design and Fabrication of a High-Speed Atomic Force Microscope Scan-Head.

Authors:  Luke Oduor Otieno; Bernard Ouma Alunda; Jaehyun Kim; Yong Joong Lee
Journal:  Sensors (Basel)       Date:  2021-01-07       Impact factor: 3.576

3.  Feature Tracking for High Speed AFM Imaging of Biopolymers.

Authors:  Brett Hartman; Sean B Andersson
Journal:  Int J Mol Sci       Date:  2018-03-31       Impact factor: 5.923

  3 in total

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