• DocumentCode
    3588518
  • Title

    Performance analysis of a non-standard EPICS fast controller

  • Author

    Jugo, J. ; Eguiraun, M. ; Badillo, I. ; Arredondo, I. ; Piso, D.

  • Author_Institution
    Dept. of Electr. & Electron., Univ. of the Basque Country, Leioa, Spain
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The recent large scientific projects present new technological challenges, such as the distributed control over a communication network. In particular, the middleware EPICS is the most extended communication standard in particle accelerators. The integration of modern control architectures in these EPICS networks is becoming common, as for example for the PXI/PXIe and xTCA hardware alternatives. In this work, a different integration procedure for PXIe real time controllers from National Instruments is proposed, using LabVIEW as the design tool. This control architecture is proposed for achieving the implementation requirements of fast controllers, which need an important amount of computational power and signal processing capability, with a tight real-time demand. The present work studies the advantages and drawbacks of this methodology and presents its comprehensive evaluation by means of a laboratory test bench, designed for the application of systematic tests. These tests compare the proposed fast controller performance with a similar system implemented using an standard EPICS IOC provided by the CODAC system.
  • Keywords
    control system CAD; middleware; particle accelerators; peripheral interfaces; virtual instrumentation; CODAC system; LabVIEW; PXIe real time controller; laboratory test bench; middleware EPICS network; modern control architecture; particle accelerator; signal processing; standard EPICS IOC; Control systems; Hardware; Linear particle accelerator; Real-time systems; Reliability; Servers; Standards; EPICS middleware; LabVIEW; PXI/PXIe; fast controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real Time Conference (RT), 2014 19th IEEE-NPSS
  • Print_ISBN
    978-1-4799-3658-8
  • Type

    conf

  • DOI
    10.1109/RTC.2014.7097475
  • Filename
    7097475