TY - GEN
T1 - A fuzzy approach for on-line error compensation during robotic welding
AU - Dávila-Ríos, Ignacio
AU - López-Juárez, Ismael
AU - Méndez, Gerardo M.
AU - Osorio-Comparán, Román
AU - Lefranc, Gastón
AU - Cubillos, Claudio
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/20
Y1 - 2016/6/20
N2 - 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 part 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. In this article, we present an alternative solution to this problem that involves the use of structured lighting using a low-cost laser beam, a CMOS camera and a Fuzzy 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. The control interface includes apart from the misalignment correction, the on/off control of the welding power supply, arc voltage and current adjustment, welding torch speed and the control of the distance between the torch's tip and the welding plate. Obtained results using the experimental design method showed a maximum error of 1.6mm, which is considered appropriate for the welding of industrial beads in metallic plates and which demonstrates the method's effectiveness in practical situations.
AB - 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 part 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. In this article, we present an alternative solution to this problem that involves the use of structured lighting using a low-cost laser beam, a CMOS camera and a Fuzzy 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. The control interface includes apart from the misalignment correction, the on/off control of the welding power supply, arc voltage and current adjustment, welding torch speed and the control of the distance between the torch's tip and the welding plate. Obtained results using the experimental design method showed a maximum error of 1.6mm, which is considered appropriate for the welding of industrial beads in metallic plates and which demonstrates the method's effectiveness in practical situations.
KW - Artificial Vision
KW - Fuzzy Logic
KW - GMAW
KW - Industrial Robotics
KW - Robot Path Control
UR - http://www.scopus.com/inward/record.url?scp=84979994945&partnerID=8YFLogxK
U2 - 10.1109/ICCCC.2016.7496772
DO - 10.1109/ICCCC.2016.7496772
M3 - Conference contribution
AN - SCOPUS:84979994945
T3 - 2016 6th International Conference on Computers Communications and Control, ICCCC 2016
SP - 264
EP - 270
BT - 2016 6th International Conference on Computers Communications and Control, ICCCC 2016
A2 - Dzitac, Ioan
A2 - Filip, Florin Gheorghe
A2 - Manolescu, Misu-Jan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Computers Communications and Control, ICCCC 2016
Y2 - 10 May 2016 through 14 May 2016
ER -