Planning of dynamic trajectories for weld process control variables by finite element simulation and iterative learning

ASM Proceedings of the International Conference: Trends in Welding Research

Volumn 2005, Issue , 2005, Pages 641-646

  Jeberg, P V ^a   Holm, Hans ^b   Lambaek, S ^a  

^a Department of Technology Development ^*  (Denmark)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

PROCESS CONDITIONS; PROCESS DYNAMICS; WELD CONTROL VARIABLES;

COMPUTER SIMULATION; FINITE ELEMENT METHOD; ITERATIVE METHODS; LEARNING SYSTEMS; MOBILE ROBOTS; WELDING;

PROCESS CONTROL;

EID: 33751527620     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Holm, H, Kjeldsen, H. C. E. and Kristensen, J. K. (2003). A reference architecture for design of an industrial temperature feedback welding control system. Journal of Materials Processing Technology Vol. 139(1-3), pp. 499-504.
2. Holm, H., Jeberg, P. V. and Bro, C. (2002). Application of numerical model for off-line programming of posture robot welding. In proceedings of 12th International TWI Computer Technology in Welding and Manufacturing Conference. Paper no. 81.
3. Terp, C. B., Holm, H., Høyer, J. H. and Nielsen, H. H. (1999). Welding process control based on a numerical model and state-space techniques. In proceedings of the Eighteenth IASTED International Conference Modelling, Identification and Control, pp. 265-268.
4. th TWI International Conference on Computer Technology in Welding and Manufacturing.
5. Kjeldsen, H. C., Holm, H. and Kristensen, J. K. (2002), New Low-cost Camera Temperature Measurements Compared to Analogous Temperature State Simulations, In Proceedings of 6th International Conference on Trends in Welding Research, pp. 924-929.
6. Moore, K. L. (1998), Iterative Learning Control - An expository overview. In Applied and Computation Controls, Signal Processing and Circuits.
7. th International Conference on Emerging Technologies and Factory Automation, pp. 64-70.
8. th TWI International Conference on Computer Technology in Welding and Manufacturing.
9. Norrlöf, M. (2000), Iterative Learning Control: Analysis, Design, and Experiments. PhD. Thesis No. 653. Linköping Studies in Science and Technology, Linköping University, Sweden.
10. Holm, H., Bach, H. and Hansen, M. V. (2003). Planning of Finite Element Modelled Welding Control Variable Trajectories by PI-Controllers and by Iterative Learning. In Proceedings of 6th International Conference on Trends in Welding Research, pp. 967-972.