• DocumentCode
    696510
  • Title

    Rapid Control Prototyping educational toolbox for Scilab/Scicos

  • Author

    Duma, Radu ; Dobra, Petru ; Trusca, Mirela ; Dumitrache, Daniel ; Sita, Ioan-Valentin

  • Author_Institution
    Autom. Control Dept., Tech. Univ. of Cluj - Napoca, Daicoviciu, Romania
  • fYear
    2009
  • fDate
    23-26 Aug. 2009
  • Firstpage
    4611
  • Lastpage
    4616
  • Abstract
    The paper presents a Rapid Control Prototyping (RCP) toolbox for Scilab/Scicos, which can be used to generate real-time C code using RTAI-Lab. The toolbox contains three main blocks: PID controller, Fractional Order PID controller and Least Mean Square (LMS) adaptive filter. Once the coefficients of the PID or fractional PID controller are determined the PID control blocks can be used to easily test the response of the controlled system. Six different LMS algorithm are implemented: LMS, leaky LMS, normalized LMS, sign-error LMS, sign-data LMS and sign-sign LMS. This solution is a low cost one, because neither a software license nor an expensive hardware is required. A general purpose computer, on which runs a Linux distribution can be used.
  • Keywords
    C language; Linux; adaptive filters; computer aided instruction; control engineering computing; control engineering education; software prototyping; three-term control; LMS adaptive filter; LMS algorithm; Linux distribution; PID controller; RTAI-Lab; Scicos; Scilab; fractional order PID controller; general purpose computer; leaky LMS algorithm; least mean square adaptive filter; normalized LMS algorithm; rapid control prototyping educational toolbox; real-time C code generation; sign-data LMS algorithm; sign-error LMS algorithm; sign-sign LMS algorithm; software license; Adaptive filters; Control systems; Equations; Least squares approximations; Mathematical model; Process control; Real-time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2009 European
  • Conference_Location
    Budapest
  • Print_ISBN
    978-3-9524173-9-3
  • Type

    conf

  • Filename
    7075128