• DocumentCode
    1292083
  • Title

    Applications of radial basis network technology to process control

  • Author

    Sbarbaro, Daniel ; Segovia, Juan P. ; Alcozer, Sandro ; Gonzales, Jose

  • Author_Institution
    Dept. of Electr. Eng., Concepcion Univ., Chile
  • Volume
    8
  • Issue
    1
  • fYear
    2000
  • fDate
    1/1/2000 12:00:00 AM
  • Firstpage
    14
  • Lastpage
    22
  • Abstract
    Modern industrial process automation systems are organized as hierarchical systems, with at least three levels: field, direct control, and supervisory level. The paper presents applications of radial basis function (RBF) networks in each one of these levels. The first example illustrates the application of these networks to improve the performance of a control valve. The second example demonstrates the potential of an RBF network to deal with nonlinear processes as direct controller. The third example, illustrates the use of a supervisory system to tune proportional integral controllers, implemented in a distributed environment. These examples do not only present some applications of RBF technologies to process control, but also demonstrate, through practical examples, that this technology can be implemented in existing control systems
  • Keywords
    hierarchical systems; neurocontrollers; process control; radial basis function networks; two-term control; valves; control valve; direct control; distributed environment; nonlinear processes; proportional integral controllers; radial basis network technology; supervisory system; Automatic control; Automation; Control systems; Electrical equipment industry; Hierarchical systems; Industrial control; Pi control; Process control; Radial basis function networks; Valves;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/87.817688
  • Filename
    817688