• DocumentCode
    2003464
  • Title

    ARX modeling for down-flowing steam distillation system

  • Author

    Yusoff, Zakiah Mohd ; Muhammad, Zuraida ; Rahiman, Mohd Hezri Fazalul ; Taib, Mohd Nasir

  • Author_Institution
    Fac. of Electr. Eng., UiTM Shah Alam, Shah Alam, Malaysia
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    485
  • Lastpage
    490
  • Abstract
    This paper presents a logical continuation of our work by proposing the utilizing of ARX model by using pseudorandom binary sequence (PRBS) as the input signal and temperature as an output. The down-flowing steam distillation column developed in this work is intended for extracting the essential oil by steam distillation technique to improve the quality of output yield and get high quantity of essential oil as compare to the conventional steam distillation. The LabView 2010 was used to design the block diagram and front panel for controlling the data collection. The modeling is done by using model order 1 and model order 2. From this analysis the data collected show that the best fit from modeling using ARX model is greater than 98% for both model orders. From the result, ARX model is adequate to model the behavior of heating process is closed to the real system.
  • Keywords
    autoregressive processes; binary sequences; distillation; distillation equipment; essential oils; heating; quality control; random sequences; ARX modeling; LabView 2010; block diagram; down-flowing steam distillation column system; essential oils; extraction; heating process; pseudorandom binary sequence model; quality improvement; Correlation; Data models; Estimation; Heating; Mathematical model; Predictive models; Temperature measurement; ARX model; Down-flowing; Essential oil; PRBS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on
  • Conference_Location
    Melaka
  • Print_ISBN
    978-1-4673-0960-8
  • Type

    conf

  • DOI
    10.1109/CSPA.2012.6194774
  • Filename
    6194774