A singleton type-1 fuzzy logic controller for on-line error compensation during robotic welding

Ignacio Davila-Rios, Ismael Lopez-Juarez, Gerardo Maximiliano Mendez, Roman Osorio-Comparan, Gaston Lefranc, CLAUDIO ALONSO CUBILLOS FIGUEROA

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

During robot welding operations in the manufacturing industry there is a need to modify on-line the welding path due to a mismatch in the position of the components to be welded. These positioning errors are due to multiple factors such as ageing of the components in the conveyor system, clamp fixtures, disturbances, etc. Therefore, robot reprogramming is needed which requires a stop in the production line and consequently an increment in production costs. This article is an extension of [1]a and presents an alternative solution to this problem that involves the use of structured lighting using a low-cost laser beam, a CMOS camera and a Gaussian singleton fuzzy logic controller. To validate the proposed control system, a robotic cell was designed using an industrial KUKA KR16 robot for welding metallic plates. The method was evaluated experimentally under lateral and vertical positioning errors.

Original languageEnglish
Pages (from-to)201-216
Number of pages16
JournalInternational Journal of Computers, Communications and Control
Volume12
Issue number2
DOIs
StatePublished - 2017
Externally publishedYes

Keywords

  • Artificial vision
  • Fuzzy logic
  • Gas metal arc welding (GMAW)
  • Industrial robotics
  • Robot path control

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