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• W4220984796 abstract "The aim of this study is to improve the subdivision accuracy of a photoelectric encoder and reduce the effects of sinusoidal errors in signals on the measurement accuracy of the system. To this end, an optoelectronic chip that can receive grating moiré fringe signals was designed, along with an amplifier circuit with a hierarchical pipelined architecture. The photodetector array was matched with the code disk before processing the received signals. The sinusoidal errors in the signals were quantitatively analyzed. The results were used to develop a sinusoidal error-compensation method based on a particle swarm optimization (PSO) algorithm. A subdivisional error-compensation model was established to correct the errors in those signals. A rapid solution to the PSO algorithm was implemented on a field-programmable gate array, and a grating test platform was constructed for experimental verification. The peak-to-peak subdivision error of the encoder’s photoelectric signal decreased by approximately 60% from 2.98ʺ to 1.13ʺ. Therefore, the proposed scheme not only significantly improves the measurement accuracy of the photoelectric shaft angle encoder, but also contributes to its miniaturization." @default.
• W4220984796 created "2022-04-03" @default.
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• W4220984796 date "2022-02-01" @default.
• W4220984796 modified "2023-10-18" @default.
• W4220984796 title "Improving the subdivision accuracy of photoelectric encoder using particle swarm optimization algorithm" @default.
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• W4220984796 doi "https://doi.org/10.1007/s11082-022-03512-2" @default.
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