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
Link To Document :
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