• 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