2021
DOI: 10.3390/s21175775
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Development of the Heterodyne Laser Encoder System for the X–Y Positioning Stage

Abstract: This investigation develops a laser encoder system based on a heterodyne laser interferometer. For eliminating geometric errors, the optical structure of the proposed encoder system was carried out with the internal zero-point method. The designed structure can eliminate the geometric errors, including positioning error, straightness error, squareness error, and Abbe error of the positioning stage. The signal processing system is composed of commercial integrated circuits (ICs). The signal type of the proposed… Show more

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Cited by 3 publications
(5 citation statements)
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“…Furthermore, in the multi-axis positioning task, the homodyne interferometer requires more optical elements and detectors to fit the differential signaling [ 19 ]. On the contrary, the heterodyne interferometer can share the reference signal, eliminating the need to arrange the reference signal for every positioning axis [ 6 ]. This characteristic is advantageous in the positioning application, especially for the multi-axis positioning systems [ 20 , 21 ].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Furthermore, in the multi-axis positioning task, the homodyne interferometer requires more optical elements and detectors to fit the differential signaling [ 19 ]. On the contrary, the heterodyne interferometer can share the reference signal, eliminating the need to arrange the reference signal for every positioning axis [ 6 ]. This characteristic is advantageous in the positioning application, especially for the multi-axis positioning systems [ 20 , 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…The common heterodyne signal processing is based on LIA technology [ 22 , 23 ], and is wildly used in interferometer signaling [ 6 , 24 ]. The block diagram of the LIA method is shown in Figure 4 .…”
Section: Methodsmentioning
confidence: 99%
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“…Due to the significant advances in convolutional neural networks (CNNs) automating feature extraction through convolution on input data to derive high‐level features, as compared to the traditional manual feature extraction, CNNs automatically update convolution kernel parameters using the gradient descent algorithm to extract semantic information from input data, thereby reducing subjectivity in the model training process, [ 20 ] which have the potential to design an end‐to‐end gait assessment system. Currently, some research related to the abnormal gait analysis has shifted to CNNs.…”
Section: Introductionmentioning
confidence: 99%
“…To meet the process and performance requirements of chip manufacture, the measurement accuracy of the lithography machine’s displacement system must reach the subnanometer level [ 1 ]. At present, the measurement tools used in the field of ultraprecision displacement measurement mainly include heterodyne laser and grating interferometers [ 2 , 3 , 4 , 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%