• DocumentCode
    1561308
  • Title

    Modeling and Identification for High-Speed Milling Machines

  • Author

    Yang, Jiangzhao ; Zhang, Dongjun ; Li, Zexiang

  • Author_Institution
    Harbin Inst. of Technol., Shenzhen
  • fYear
    2007
  • Firstpage
    346
  • Lastpage
    351
  • Abstract
    Accurate modeling and identification to the dynamics of the feed drive system is significant in designing a high performance milling machine. In this paper, mathematical model of the feed drive system, including electromagnetic and mechanical aspects, is concluded. To be consistent with the controller design techniques, two different grey-box identification methods are discussed to estimate the model of a practical milling machine. It turns out that the sampled-data control system with a slower sample rate fits the system better than the faster one. Moreover, compared with the model estimated by partial continuous approach, the total discrete-time model achieves better results in the model validation.
  • Keywords
    control system synthesis; discrete time systems; identification; milling machines; sampled data systems; accurate modeling; controller design; discrete-time model; electromagnetic aspects; feed drive system; grey-box identification method; high-speed milling machines; mathematical model; mechanical aspects; model validation; sampled-data control system; Control systems; Feeds; Friction; Machining; Mathematical model; Metalworking machines; Power system modeling; Robust control; Servomechanisms; Servomotors; Feed Drive Modeling; Grey-Box Identification; High-Speed Machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    978-1-4244-1154-2
  • Electronic_ISBN
    978-1-4244-1154-2
  • Type

    conf

  • DOI
    10.1109/COASE.2007.4341841
  • Filename
    4341841