Long binary coding design for absolute positioning using genetic algorithm

Shengtong Wang; Linbin Luo; Lvye Gao; Rui Ma; Xiaohao Wang; Xinghui Li

doi:10.1117/12.2685961

27 November 2023 Long binary coding design for absolute positioning using genetic algorithm

Shengtong Wang, Linbin Luo, Lvye Gao, Rui Ma, Xiaohao Wang, Xinghui Li

Proceedings Volume 12769, Optical Metrology and Inspection for Industrial Applications X; 1276904 (2023) https://doi.org/10.1117/12.2685961
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Abstract

Absolute testing for metrology has always been one of the important development directions of precision measurement. The mask with binary code is an important structure for forming absolute positioning pulses in grating encoders. The increase in the number of codes is beneficial to the resolution of positioning, but design of codes has always existed the problem that the optimal design cannot be obtained when the number of codes increases. This paper proposes a design method of binary code based on the genetic algorithm, which can get the required binary code more quickly when the number of codes is greater than 150 or even higher. The specific method can randomly generate binary codes with their fitness factors, and the binary codes enter the algorithm as the parents based on the mutation, crossover, and selection. Then the reproduce binary codes will have higher and higher fitness factor. This method can quickly generate satisfactory binary codes with specified performance, thus providing high resolution at the nanometer level for absolute positioning measurement. This work provides help and reference for future absolute positioning measurements.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shengtong Wang, Linbin Luo, Lvye Gao, Rui Ma, Xiaohao Wang, and Xinghui Li "Long binary coding design for absolute positioning using genetic algorithm", Proc. SPIE 12769, Optical Metrology and Inspection for Industrial Applications X, 1276904 (27 November 2023); https://doi.org/10.1117/12.2685961

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KEYWORDS

Binary data

Genetic algorithms

Design and modelling

Diffraction

Interferometers

Manufacturing

Pulse signals

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