Using fuzzy logic methods in precision part measurement on a coordinate measuring machine

Authors

DOI:

https://doi.org/10.18372/2073-4751.80.19771

Keywords:

coordinate measuring machine, measurement errors, fuzzy logic, adaptive correction, modeling, precision parts, control system, metrology, accuracy of selection

Abstract

This article examines the application of fuzzy logic methods for correcting measurement errors on coordinate measuring machines. An adaptive correction algorithm is proposed, which significantly reduces systematic errors and improves the accuracy of precision part measurements. The algorithm is based on the use of fuzzy sets to model and compensate for errors arising during the measurement of complex geometric shapes. A detailed simulation of the algorithm’s performance has been conducted, confirming its effectiveness in reducing the mean measurement error and its dispersion. The proposed method can be integrated into the software of coordinate measuring machines for automatic correction of measurement results, ensuring improved accuracy without significant operator intervention. The obtained results can be applied in the aerospace, mechanical engineering, and other high-precision industries, where quality and accuracy in geometric parameter control are of utmost importance.

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Published

2025-03-13

How to Cite

Larin, V. (2025). Using fuzzy logic methods in precision part measurement on a coordinate measuring machine. Problems of Informatization and Control, 4(80), 71–75. https://doi.org/10.18372/2073-4751.80.19771

Issue

Vol. 4 No. 80 (2024)

Section

Статті

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