System identification and adaptive control of the multi-axis bending and twisting process

Wei Ching Sun, Kim A Stelson

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

An adaptive control scheme for the multi-axis bending and twisting process based on system identification of process models is presented. Three system identification methods, the frequency-response, the least-squares and the singular value decomposition methods, have successfully identified the process models. Control based on these identified process models performed better than control based on the theoretical process models proposed by Luo et al. (1994). The shape errors between the intrinsic geometric quantities of the actual and desired parts are applied to the inverse identified process models to calculate incremental changes in axis commands for subsequent iterations. Comparison with experimental results demonstrates that adaptive control based on the identified process models achieves faster convergence than the previous approach.

Original languageEnglish (US)
Title of host publicationProceedings of the Japan/USA Symposium on Flexible Automation
EditorsK. Stelson, F. Oba
Pages1063-1067
Number of pages5
StatePublished - Dec 1 1996
EventProceedings of the 1996 Japan-USA Symposium on Flexible Automation. Part 2 (of 2) - Boston, MA, USA
Duration: Jul 7 1996Jul 10 1996

Publication series

NameProceedings of the Japan/USA Symposium on Flexible Automation
Volume2

Other

OtherProceedings of the 1996 Japan-USA Symposium on Flexible Automation. Part 2 (of 2)
CityBoston, MA, USA
Period7/7/967/10/96

Fingerprint Dive into the research topics of 'System identification and adaptive control of the multi-axis bending and twisting process'. Together they form a unique fingerprint.

Cite this