DocumentCode
2847272
Title
An implementation of iterative learning control in industrial production machines
Author
Wei, Dong ; Panaitescu, Razvan
Author_Institution
Dept. of Autom. & Control Technol., Siemens Corp. Res., Inc., Princeton, NJ
fYear
2008
fDate
23-26 Aug. 2008
Firstpage
472
Lastpage
477
Abstract
This paper presents one implementation of an ILC (iterative learning control) algorithm in motion-focused production control systems. The implementation is an enhancement, but not a replacement of PID tuning. It is able to improve the system performance in terms of following error without re-tuning PID parameters when the operation conditions, such as mechanical device, load, and motion profile, change. The results are successfully demonstrated in Siemenspsila motion controller - Simotion, and utilized in industrial production lines. The proposed method possesses desirable implementation simplicity. According to the authorspsila knowledge, this paper is the first report of ILC implementation in the area of production machines.
Keywords
adaptive control; iterative methods; learning systems; motion control; production control; production equipment; three-term control; ILC; PID tuning; Siemens motion controller; Simotion; industrial production machines; iterative learning control; motion-focused production control systems; Automatic control; Automation; Control systems; Electrical equipment industry; Glass industry; Industrial control; Machine learning; Machinery production industries; Motion control; Production control;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
Conference_Location
Arlington, VA
Print_ISBN
978-1-4244-2022-3
Electronic_ISBN
978-1-4244-2023-0
Type
conf
DOI
10.1109/COASE.2008.4626435
Filename
4626435
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