TY - CHAP

T1 - Advances in Laser Positioning of Machine Vision System and Their Impact on 3D Coordinates Measurement

AU - Nunez-Lopez, Jose A.

AU - Sergiyenko, Oleg

AU - Alaniz-Plata, Ruben

AU - Sepulveda-Valdez, Cesar

AU - Perez-Landeros, Oscar M.

AU - Tyrsa, Vera

AU - Flores-Fuentes, Wendy

AU - Rodriguez-Quinonez, Julio C.

AU - Murrieta-Rico, Fabian N.

AU - Mercorelli, Paolo

AU - Kartashov, Vladimir

AU - Kolendovska, Marina

N1 - Funding Information: ACKNOWLEDGMENT The Autonomous University of Baja California partially supported this work. The authors of this work would like to thank the anonymous reviewers for their valuable support. Publisher Copyright: © 2023 IEEE.

PY - 2023/10/16

Y1 - 2023/10/16

N2 - This work presents improvements to a patented 3D laser scanning system with a friction-compensated laser positioning mechanism. By employing a dynamic friction model, the system accurately identifies angular positioning errors through a combination of manual and automatic measurements with different control inputs. The study conducts experiments involving multiple friction cycles and SEM micrograph analysis to compare the microscopic irregularities of steel surfaces before and after friction-based positioning. Parameters of the friction system are derived or estimated from processed input-output test data. A nonlinear control is proposed to compensate for friction effects, resulting in improved positioning accuracy. Experimental implementation using an STM32 board demonstrates a remarkable reduction in the uncertainty of 3D coordinates measured by applying friction-compensated laser positioning. The findings highlight the effectiveness of the proposed friction compensation method, making the 3D laser scanning system more precise and reliable for diverse applications.

AB - This work presents improvements to a patented 3D laser scanning system with a friction-compensated laser positioning mechanism. By employing a dynamic friction model, the system accurately identifies angular positioning errors through a combination of manual and automatic measurements with different control inputs. The study conducts experiments involving multiple friction cycles and SEM micrograph analysis to compare the microscopic irregularities of steel surfaces before and after friction-based positioning. Parameters of the friction system are derived or estimated from processed input-output test data. A nonlinear control is proposed to compensate for friction effects, resulting in improved positioning accuracy. Experimental implementation using an STM32 board demonstrates a remarkable reduction in the uncertainty of 3D coordinates measured by applying friction-compensated laser positioning. The findings highlight the effectiveness of the proposed friction compensation method, making the 3D laser scanning system more precise and reliable for diverse applications.

KW - 3D Coordinate Sensing

KW - Friction Estimation

KW - Laser Scanner

KW - Machine Vision System

KW - Robot Vision

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85179517978&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/107aa5c5-223c-35fc-b82b-dd5a25ddf8fa/

U2 - 10.1109/IECON51785.2023.10312329

DO - 10.1109/IECON51785.2023.10312329

M3 - Article in conference proceedings

AN - SCOPUS:85179517978

SN - 979-8-3503-3183-7

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

T2 - 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Y2 - 16 October 2023 through 19 October 2023

ER -