• DocumentCode
    2681725
  • Title

    Fuzzy predictive control of Air Compressor System

  • Author

    Liu, Keping ; Feng, Xuesheng ; Yang, Min ; Tang, Chonghe ; Jiang, Changhong

  • Author_Institution
    Coll. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China
  • Volume
    4
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    344
  • Lastpage
    347
  • Abstract
    Conventional PID is difficult to satisfy the high principles requirement on an Air Compressor as controlled object because of its delay and nonlinear features. The FIR model of Air Compressor System was built based on fuzzy predictive control theory, which selected the outlet pressure as a fuzzy premise variable and tuned by the operating rules. The result of step disturbance simulation experiment showed several advantages, such as good adaptability and adjusting online easily.
  • Keywords
    compressors; control nonlinearities; delays; fuzzy control; predictive control; three-term control; FIR model; air compressor system; conventional PID; delay; fuzzy predictive control; nonlinear features; Lead; Load modeling; Pipelines; Robustness; Air Compressor System; FIR Model; Fuzzy Predictive Control; Model Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5610133
  • Filename
    5610133
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2681725