• DocumentCode
    2080465
  • Title

    Adaptive predictive control of grain drying process parameters

  • Author

    Han Feng ; Zuo Chuncheng ; Li Junxing ; Wu Wenfu

  • Author_Institution
    Coll. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    2327
  • Lastpage
    2330
  • Abstract
    To ensure the quality of the dried grain and improve the intelligent level in drying process, the automatic control system for grain drying machine is developed. Based on virtual instrument and predictive control, the system can automatically detect moisture content and temperature, calibrate moisture sensor, detect faults and alarm, automatically control the air temperature and predictive control the discharging speed of grain, etc. It has advantages such as strong adaptive capacity, a high degree of automation and simple operation. The actual application shows that it can meet the requirements of the actual drying operation, effectively control the stability of the grain moisture, improve the dry food quality and reduce the energy consumption.
  • Keywords
    adaptive control; control engineering computing; drying; fault diagnosis; predictive control; process control; production engineering computing; temperature control; virtual instrumentation; adaptive predictive control; air temperature control; alarm detection; dried grain quality; dry food quality; drying process intelligent level; energy consumption reduction; fault detection; grain drying machine automatic control system; grain drying process parameters; grain moisture stability; moisture content detection; moisture sensor calibration; temperature detection; virtual instrument; Educational institutions; Moisture; Predictive control; Predictive models; Temperature control; grain drying; parameter; predictive control; virtual instrument;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199686
  • Filename
    6199686