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Welding Process Tracking Control Based on Multiple Model Iterative Learning Control
Joint Authors
Li, Xiao-Li
Li, Yang
Wang, Kang
Liu, Jian
Wang, Linkun
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The welding of the same parts has same welding trajectory, so welding process has strong repeatability.
In this paper, aiming at the repeatability of welding process, an iterative learning controller is designed to achieve the control of weld quality.
Due to the extremely variable welding environment and the presence of noise interferences and load disturbances, it is easy to cause the jumping change in parameters and even the structure of the welding system.
Therefore, the idea of multiple model adaptive control (MMAC) is introduced into iterative learning control (ILC), and a multiple model iterative learning control (MMILC) algorithm is designed according to model of weld pool dynamic process in gas tungsten arc welding (GTAW).
Besides, the convergence of the algorithm is analyzed for two cases: fixed parameters and jumping parameters.
It turns out that the MMILC can not only utilize the repetitive information effectively in the welding process to achieve high precision tracking control of weld seam in limited time interval, but also realize the multiple model switching according to different working conditions to improve the welding quality.
American Psychological Association (APA)
Li, Xiao-Li& Liu, Jian& Wang, Linkun& Wang, Kang& Li, Yang. 2019. Welding Process Tracking Control Based on Multiple Model Iterative Learning Control. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1196355
Modern Language Association (MLA)
Li, Xiao-Li…[et al.]. Welding Process Tracking Control Based on Multiple Model Iterative Learning Control. Mathematical Problems in Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1196355
American Medical Association (AMA)
Li, Xiao-Li& Liu, Jian& Wang, Linkun& Wang, Kang& Li, Yang. Welding Process Tracking Control Based on Multiple Model Iterative Learning Control. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1196355
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196355