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Título del libro: Proceedings Of 2021 Ieee 30th International Symposium On Industrial Electronics (isie)
Título del capítulo: Reduction of the Relative Positioning Error of a Machine Vision System U sing Friction Compensation

Autores UNAM:
FABIAN NATANAEL MURRIETA RICO;
Autores externos:

Idioma:

Año de publicación:
2021
Palabras clave:

Computer vision; Electric machine control; Error compensation; Stiction; % reductions; Computational simulation; Friction compensation; Friction estimation; Laser positioning; Machine vision systems; Non linear control; Positioning control; Positioning error; Relative positioning; DC motors


Resumen:

Friction is a nonlinear phenomenon present in all mechanical systems and significantly impacts the control area. Currently, there exist a large number of systems that require precise positioning control to achieve optimal performance. The present paper seeks to estimate friction torque for a controlled direct-current motor (DC motor) for the positioning laser of a 3D machine vision system. The relative positioning error that causes this phenomenon using the LuGre friction model is identified. Later a feasible solution for high-performance positioning control for the positioning laser using friction compensation is proposed. © 2021 IEEE.


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