Evidence map›Paper›PMID 32316231›Full record

ArticleSensors (Basel, Switzerland)2020

An FPGA Platform for Next-Generation Grating Encoders.

Yaodong Han, Kai Ni, Xinghui Li, Guanhao Wu, Kangning Yu, Qian Zhou, Xiaohao Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yaodong HanShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Kai NiShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Xinghui LiShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Guanhao WuShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Kangning YuShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Qian ZhouShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Xiaohao WangShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

Funding

National Natural Science Foundation of China 61905129, 51835007Natural Science Foundation of Guangdong Province 2018A030313748Shenzhen Fundamental Research Funding JCYJ20170817160808432, JCYJ20180508152013054Youth Funding of Shenzhen Graduate of Tsinghua University QN20180003
6 · The paper itself

Abstract

Among various nanometer-level displacement measurement methods, grating interferometry-based linear encoders are widely used due to their high robustness, relatively low cost, and compactness. One trend of grating encoders is multi-axis measurement capability for simultaneous precision positioning and small order error motion measurement. However, due to both lack of suitable hardware data processing platform and of a real-time displacement calculation system, meeting the requirements of real-time data processing while maintaining the nanometer order resolutions on all these axes is a challenge. To solve above-mentioned problem, in this paper we introduce a design and experimental validation of a field programmable gate array (FPGA)-cored real-time data processing platform for grating encoders. This platform includes the following functions. First, a front-end photodetector and I/V conversion analog circuit are used to realize basic analog signal filtering, while an eight-channel parallel, 16-bit precision, 200 kSPS maximum acquisition rate Analog-to-digital (ADC) is used to obtain digital signals that are easy to process. Then, an FPGA-based digital signal processing platform is implemented, which can calculate the displacement values corresponding to the phase subdivision signals in parallel and in real time at high speed. Finally, the displacement result is transferred by USB2.0 to the PC in real time through an Universal Asynchronous Receiver/Transmitter (UART) serial port to form a complete real-time displacement calculation system. The experimental results show that the system achieves real-time data processing and displacement result display while meeting the high accuracy of traditional offline data solution methods, which demonstrates the industrial potential and practicality of our absolute two-dimensional grating scale displacement measurement system.

Indexed as

diffractionFPGAgrating encoderinterferometrymulti-axesreal-time

Identifiers

PMID32316231
PMCPMC7219053

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.