Abstract
This paper concerns the application of adaptive predictive control for regulating arc welding trailing centerline temperature. Parallel integral action is used for achieving zero steady-state tracking error. As shown by experimental results, the process presents an high level of uncertainty, being impossible to stabilise all possible plant dynamics outcomes with a single linear, time i. ii van™ ant, controller. For tackling the high level of uncertainty in the process the MUSMAR adaptive algorithm, relying on separate estimation of predictive models is used. Experimental results are presented, forming the core of the paper. The possible convergence points of the adaptive controller together with the parallel integral action are characterized through the ODE method for the analysis of stochastic algorithms together with singular perturbation analysis.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
