High-precision absolute linear encoder based on a standard calibrated scale

Lashmanov, Oleg U.; Vasilev, Aleksandr S.; Vasileva, Anna V.; Anisimov, Andrei G.; Korotaev, Valery V.

doi:10.1016/j.measurement.2018.03.071

Cited by 25 publications

(9 citation statements)

References 15 publications

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“…Although image noise can be filtered by normal digital filter technology, some useful angle information could also be lost. 13,14 For this reason, we aim to develop an improved subdivision algorithm with robustness to noise and spots from multiple grating lines.…”

Section: Principlementioning

confidence: 99%

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An improved high-precision subdivision algorithm for single-track absolute encoder using machine vision techniques

Yuan

Huang

Lei

2019

Measurement and Control

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In order to achieve high-precision and robust measurement for a single-track absolute encoder, an improved subdivision algorithm based on machine vision technology is proposed. First, the composite subdivision algorithm combining RANdom SAmple Consensus and least square estimation is introduced. Second, the proposed algorithm is proved to be high-precision and effective to remove fault error from signal noise and spot by simulation. Finally, real test results show that the algorithm output angle stably achieves precision within 2.5 arc-seconds and accuracy up to 1.6 arc-seconds. Research results provide a high-precision and robust subdivision algorithm that is improved by modern machine vision technology of RANdom SAmple Consensus and it can be applied in the field of absolute angle sensor in the future.

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Section: Principlementioning

confidence: 99%

“…Ideally, grating grid line pulse centers were listed from left to right as: U E À10 = 5:5, U E À9 = 15:5, Á Á Á , U E À1 = 95:5, U E 1 = 105:5, Á Á Á , U E 9 =185:5, U E 10 = 195:5. And we could easily calculate subdivision angle u ideal = 0:53h according to formulas (3), (9), and (14).…”

Section: Analysis Of Anti-noise and Anti-spot Performancementioning

confidence: 99%

An improved high-precision subdivision algorithm for single-track absolute encoder using machine vision techniques

Yuan

Huang

Lei

2019

Measurement and Control

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“…Это предотвратит появление «засветки», но приведет к появлению «тем-ных» областей на изображении, распознавание объектов в которых будет невозможно. В условиях, когда сложно выбрать правильное значение времени накопления заряда ФПУ, можно использовать метод рас-ширения динамического диапазона изображения путем совместной обработки нескольких снимков зем-ной поверхности, полученных с разным временем накопления заряда [8][9][10][11][12][13][14][15].…”

Section: расширение динамического диапазона изображенияunclassified

A method of images contrast enhancement under conditions of the Earth survey from space

Алтухов¹,

Шабаков²,

Korshunov³

2018

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…Baji [14] proposed a displacement measurement method based on color recognition, which could measure the rotation angle of coded disks coated with uniform color change; they performed rotation angle measurements with an error of 1°. In 2018, Lashmanov [15] used a camera to collect and measure the scale ruler with scale lines and achieved a resolution of 0.02μm and a measurement accuracy of 1.65μm. More recently, Mu [16] used a CMOS linear array image sensor to recognize the pseudo-random single-channel code and achieved up to 20-bit code recognition.…”

Section: Introductionmentioning

confidence: 99%

Stain-Detection and Anti-Stain Algorithms Based on Dual Detector Data Interchange in Image-Type Displacement Measurement Technology

Wan

Zhao

2023

IEEE Trans. Instrum. Meas.

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Displacement measurement technology based on image recognition algorithms represents a novel high-performance technique. In such measurements, when there are stains contaminating the measuring light path, it causes recognition errors from the linear array image sensor on the grating, resulting in inaccurate measurement results. Therefore, this report proposes stain-detection and anti-stain algorithms based on image recognition. The principle of image-type displacement measurement technology is described, and the influence of stains on the displacement measurements is analyzed according to four criteria in order to judge whether there are stains present. Then, an anti-stain algorithm based on the data exchange of dual-image sensors is proposed. Finally, experimental verifications are carried out. The experimental results show that the proposed algorithm effectively identifies the errors in the displacement measurements, when the experimental device is contaminated, the developed algorithms can accurately self-correct for the stain's interference. The results presented herein provide a theoretical basis for developing highly-reliable displacement measurement devices.

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High-precision absolute linear encoder based on a standard calibrated scale

Cited by 25 publications

References 15 publications

An improved high-precision subdivision algorithm for single-track absolute encoder using machine vision techniques

An improved high-precision subdivision algorithm for single-track absolute encoder using machine vision techniques

A method of images contrast enhancement under conditions of the Earth survey from space

Stain-Detection and Anti-Stain Algorithms Based on Dual Detector Data Interchange in Image-Type Displacement Measurement Technology

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