Compressive feedback-based motion control for nanomanipulation - Theory and applications

Bo Song, Jianguo Zhao, Ning Xi, Hongzhi Chen, King Wai Chiu Lai, Ruiguo Yang, Liangliang Chen

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Conventional scanning probe microscopy (SPM)-based nanomanipulations always have to face scanner accuracy problems such as hysteresis, nonlinearity, and thermal drift. Although some scanners consist of internal position sensors, the sensitivity is not high enough to monitor high-resolution nanomanipulations. Additionally, once the scan size decreases to a nanolevel such as less than 100 nm, the noise brought by sensors is large enough to affect the performance of the closed-loop motion control system. In this paper, a non-vector space control strategy based on compressive feedback is proposed in order to improve the accuracy of SPM-based nanomanipulations. In this approach, local images (or compressive data) are used as both the reference input and feedback for a non-vector space closed-loop controller which considers the local image (or compressive data) as a set. The controller is designed in non-vector space, and it requires no prior information on features or landmarks which are widely used in traditional visual servoing. In this paper, the atomic force microscopy is used as an example of SPM to implement the non-vector space control strategy for nanomanipulations. The motivation of designing such a non-vector space controller is to solve the accuracy problem in nanomanipulation. Without this technique, the SPM-based nanomanipulations, such as nanomeasurement and nanosurgery, are difficult to conduct, with accuracy controlled under several nanometers. In order to illustrate the contributions and potential applications of this non-vector controller, at the end of this paper, an application of carbon nanotube local electrical property characterization based on a non-vector space motion control is shown to clearly verify the concept. Compared with other research in the local electrical property characterization, the non-vector space controller can ensure that the measurement accuracy (position error) is controlled within a few nanometers, which also ensures the reliability of measurement results. Additionally, this non-vector space control method can be implemented into any kind of SPM to realize a real-time control for nanomanipulation such as nanofabrication and nanoassembly.

Original languageEnglish (US)
Article number6689324
Pages (from-to)103-114
Number of pages12
JournalIEEE Transactions on Robotics
Volume30
Issue number1
DOIs
StatePublished - Feb 2014

Fingerprint

Scanning probe microscopy
Motion control
Feedback
Controllers
Electric properties
Visual servoing
Position measurement
Control nonlinearities
Sensors
Real time control
Nanotechnology
Hysteresis
Atomic force microscopy
Carbon nanotubes
Control systems

Keywords

  • Compressive feedback
  • Nanomanipulation
  • Nanorobotics
  • Non-vector space

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Compressive feedback-based motion control for nanomanipulation - Theory and applications. / Song, Bo; Zhao, Jianguo; Xi, Ning; Chen, Hongzhi; Lai, King Wai Chiu; Yang, Ruiguo; Chen, Liangliang.

In: IEEE Transactions on Robotics, Vol. 30, No. 1, 6689324, 02.2014, p. 103-114.

Research output: Contribution to journalArticle

Song, Bo ; Zhao, Jianguo ; Xi, Ning ; Chen, Hongzhi ; Lai, King Wai Chiu ; Yang, Ruiguo ; Chen, Liangliang. / Compressive feedback-based motion control for nanomanipulation - Theory and applications. In: IEEE Transactions on Robotics. 2014 ; Vol. 30, No. 1. pp. 103-114.
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