Design of intelligent control system for rice whitening machine

Jin Zhou, Hong Yue, Yonglin Zhang, Chongye Xiao

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

The product quality of rice whitening process has largely dependent on operation experiences, which is a key problem for this type of food processing systems that might lead to variability in the final product quality. An intelligent automatic control system has been proposed for rice whitening machines based on expert database system. The new control system replaces the traditional mechanical actuators with stepper motors, along with sensors and supervisory control and data acquisition (SCADA), achieving digital visualization of the rice whitening process. The operation experiences can be conveniently transferred in to the expert database system in real time, allowing the control system to automatically select the relevant operation parameters. The developed scheme has been implemented in an industrial system at the trial stage. The preliminary results are positive in improving product quality and reducing labor intensity.
Original languageEnglish
Title of host publicationThe 23rd International Conference on Automation and Computing (ICAC'17)
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages6
Publication statusPublished - 26 Oct 2017
EventThe 23rd International Conference on Automation and Computing - University of Huddersfield, Huddersfield, United Kingdom
Duration: 7 Sep 20178 Sep 2017
http://www.cacsuk.co.uk/index.php/conferences

Conference

ConferenceThe 23rd International Conference on Automation and Computing
Abbreviated titleICAC'17
CountryUnited Kingdom
CityHuddersfield
Period7/09/178/09/17
Internet address

Keywords

  • rice whitening machine
  • automatic control
  • expert database system
  • intelligent control

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  • Cite this

    Zhou, J., Yue, H., Zhang, Y., & Xiao, C. (2017). Design of intelligent control system for rice whitening machine. In The 23rd International Conference on Automation and Computing (ICAC'17) IEEE.