Documento de conferencia

Improved Artificial Vision Algorithm in a 2-DOF Positioning System operated under feedback control in micromachining

Conference Proceeding cp
Proceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017
  • Fecha: 01 enero 2017
  • Páginas: 459-460
  • ISBN: 9780995775107
  • Tipo de fuente: Ponencia
  • Tipo de documento: Documento de conferencia
  • Editorial: euspen
Research about micromachining systems have focused on the study of the machining strategy, the machining parameters and the errors of the cutting tool. In these systems, closed-loop positioning systems play a very important role in achieving the required accuracy. In this communication, the vision control system used in previous studies has been further improved by means of a novel artificial vision algorithm in order to achieve better results of precision and repeatability. In the experiments carried out in this study, a camera lens has been used, which jointly moves with the XY platform of the micro-machine tool, in order to capture an optimized image related to the location represented in the form of an illuminating series of LEDs on a 326ppi smartphone screen. This study differs from previous works by using an enhanced artificial vision algorithm method and the implementation of auto alignment process between the LCD and the camera, in order to reduce errors and achieve a significant improvement in the stability of the system. As a result it is obtained a significant precision and repeatability improvement.

Palabras clave del autor

    Palabras clave indexadas

      Detalles de financiación