2021
DOI: 10.1016/j.measurement.2020.108547
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Machine learning-based method for linearization and error compensation of a novel absolute rotary encoder

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Cited by 9 publications
(4 citation statements)
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“…With the development of aerospace and robotics technology in China, the miniaturization of absolute photoelectric encoders has been highly valued by enterprises and research institutes [ 6 ]. At present, the encoding methods for miniaturized absolute optoelectronic encoders mainly include Gray code, matrix code, single-ring Gray code, M-sequence code, and image encoding [ 7 , 8 , 9 , 10 ]. The matrix encoding method characterizes the encoding of different bits of traditional Gray codes on a circular code track, and its final output is the same as that of traditional Gray codes, but the number of code disk turns is reduced [ 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…With the development of aerospace and robotics technology in China, the miniaturization of absolute photoelectric encoders has been highly valued by enterprises and research institutes [ 6 ]. At present, the encoding methods for miniaturized absolute optoelectronic encoders mainly include Gray code, matrix code, single-ring Gray code, M-sequence code, and image encoding [ 7 , 8 , 9 , 10 ]. The matrix encoding method characterizes the encoding of different bits of traditional Gray codes on a circular code track, and its final output is the same as that of traditional Gray codes, but the number of code disk turns is reduced [ 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…[11] utilized a hybrid algorithm which integrates Fourier expansion, back-propagation neural network and genetic algorithm (FE-GABPNN) to compensate the error of an articulated coordinate measurement machine in the presence of temperature variations. Also, an original optical rotary encoder was proposed in [12], relying on the recognition of an image uniquely identifying the absolute rotor angle; ML techniques were adopted for sector classification and angle regression.…”
Section: Introductionmentioning
confidence: 99%
“…However, compared with linear systems, the research on micro-drive rotary systems is scarce and dated [ 28 ]. In addition, the positional accuracy of linear motion can reach the nanometer level [ 29 , 30 ], but the rotary motion is only at the arc-second (″) level [ 31 , 32 , 33 , 34 ].…”
Section: Introductionmentioning
confidence: 99%