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Welding Seam Tracking Controller Simulation Using Fuzzy Logic
| Content Provider | Semantic Scholar |
|---|---|
| Author | Davila-Rios, I. Lopez-Juarez, Ismael Navarro-González, Juan F. V. A.de C. Idavila |
| Copyright Year | 2011 |
| Abstract | Robotic welding processes are widely used in manufacturing and especially in the automotive industry. Quality problems in the automation of this process became a leading cause of attention by manufacturers and researchers interested in improving these processes. Within the wide range of automated welding processes that exist in the industry, the most used is the Gas Metal Arc Welding Process (GMAW) for his great versatility and good performance in applications with robots. This article presents the results of the simulation of a control system for weld tracking monitoring using a 6 DOF robot manipulator. The motion control system is based on Fuzzy Logic and it is able to compensate any part misalignment due to clamp mismatch or positioning errors from the holding tool, etc. A type I fuzzy system is used for the controller as well as a laser and a vision camera as the sensory input. Typical misalignments during operations are of linear type so the control system was simulated under this scenario and also tested against sudden changes in the preprogrammed trajectory in our initial experiments in a real-world environment. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.itsbasicas.com/davila/icias2010.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
