Neurofuzzy model-based weld fusion state estimation
Radovan Kovacevic, Yu.M. Zhang · IEEE Control Systems · 1997
Proper fusion is crucial in generating a sound weld. Successful control of the fusion state requires accurate measurements of both the topside and back-side bead widths. A top-side sensor-based system is preferred so that the sensor can be attached to and moved with the torch. Thus, the system must be capable of estimating the back-side bead width with high accuracy. Because skilled human operators can estimate the fusion state from the observed weld pool, a neurofuzzy system is developed to infer the backside bead width from the pool geometry in this work. It is found that the back-side bead width can be estimated with satisfactory accuracy by the identified neurofuzzy model. Thus, accurate feedback of the fusion state can be provided for its control.