Quantitative Method of Granular Agricultural Products Feeding Based on Volume Closed-loop Control
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Aiming at the problems of low precision and low automation in quantitative feeding of granular agricultural products, the physical characteristics of common granular agricultural products were analyzed. A quantitative method based on volume estimation of mass was adopted, and a closed-loop control scheme was introduced into the control system. A dynamic quantitative feeding equipment for granular agricultural products was developed. The equipment mainly consisted of a quantitative device with a variable volume measuring cup structure, a transmission and distribution mechanism, and a reinspection weighing scale. Based on the explanation of the mechanical structure and working principle, a closed-loop control algorithm based on historical discrete data fitting prediction error was proposed. When the reinspection process detected a difference between the feeding quality and the target quality, the volume of the measuring cup in the quantitative feeding process would be compensated and corrected through a closed-loop control system, thereby reducing the error of quantitative feeding. The results of experiment showed that the equipment could achieve high-precision dynamic quantitative feeding of granular agricultural products with anti-interference and adaptive capabilities. Taking rice, soybeans, and kidney beans as the experimental object, the feeding quality error could be stably controlled within 1% after three sets of closed-loop feedback adjustments when the rotational speed of the turntable was 4r/min. And the quantitative accuracy was far higher than that of the national requirement for the allowable shortage of quantitatively packaged goods.

    Reference
    Related
    Cited by
Get Citation
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 04,2023
  • Revised:
  • Adopted:
  • Online: August 10,2024
  • Published:
Article QR Code