• DocumentCode
    506776
  • Title

    Real-time control system based on MATLAB and PCAuto via OPC technology

  • Author

    Huang, Qingbao ; Song, Shaojian

  • Author_Institution
    Coll. of Electr. Eng., Guangxi Univ., Nanning, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    671
  • Lastpage
    674
  • Abstract
    MATLAB provides us plenty toolboxes to develop kinds of advantage control algorithms, and PCAuto known as a famous SCADA configuration software is widely used in industry due to its powerful data acquisition function, strong real-time database system and excellent graphic human-machine interface. In this paper, the communication between MATLAB and PCAuto based on OPC (OLE for process control) technology is presented. To test the performance of the communication, a realtime improved single neuron adaptive PID liquid level control system is realized. The control process and results verify that the data exchanging is very efficient and reliable. The research of this paper presents a new approach to apply advantage control theories to real-time control system.
  • Keywords
    SCADA systems; adaptive control; control engineering computing; graphical user interfaces; human computer interaction; level control; neurocontrollers; process control; production engineering computing; real-time systems; three-term control; MATLAB; OLE for process control; OPC technology; PCAuto; SCADA configuration software; data acquisition; data exchange; graphic human-machine interface; real-time control system; real-time database system; single neuron adaptive PID liquid level control system; Communication system control; Computer industry; Control systems; Electrical equipment industry; Industrial control; MATLAB; Process control; Real time systems; Software algorithms; Software tools; MATLAB; OPC; PCAuto; adaptive PID; neuron;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358304
  • Filename
    5358304