• DocumentCode
    330377
  • Title

    A robust machining process controller with fuzzy logic fusion

  • Author

    Chen, Zheng ; Hope, Tony ; Sadek, Hassan ; Smith, Graham

  • Author_Institution
    Syst. Eng. Fac., Southampton Inst., UK
  • Volume
    1
  • fYear
    1998
  • fDate
    1-4 Sep 1998
  • Firstpage
    197
  • Abstract
    Issues about the robust machining process control are discussed. Firstly the problem for robust machining process control is formulated. Then, a robust machining process controller is designed by using a linear matrix inequality (LMI) based approach, and a fuzzy logic inference mechanism is introduced to adjust the controller according to the online measurements of operating variables which define the operating conditions or operating points of the processes. The simulation results of a design example (an end milling process control) shows that robust stability an satisfactory performance have been achieved
  • Keywords
    control system synthesis; fuzzy logic; inference mechanisms; machining; matrix algebra; process control; robust control; end milling; fuzzy logic fusion; fuzzy logic inference mechanism; linear matrix inequality; online measurements; robust machining process controller; Control system synthesis; Control systems; Fuzzy logic; Inference mechanisms; Linear matrix inequalities; Machining; Mathematical model; Process control; Robust control; Robust stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Trieste
  • Print_ISBN
    0-7803-4104-X
  • Type

    conf

  • DOI
    10.1109/CCA.1998.728365
  • Filename
    728365