Dynamics modelling and control of a fluidized bed dryer

Elias Razzaghi, Payam Zarafshan, S. Razi Karimi Akandi

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

2 Citations (Scopus)

Abstract

Husk rice must be dry before any treatment in industrial processes. For food industries, to preserve the quality of materials, the temperature must remain in a specific domain. So, in this paper, control of the moisture content and temperature of the grains are studied. To this end, a mathematical model is used to shape the control algorithm. In addition, the linear model is prepared for the control process. High-passed Bessel filter, low-passed Butterworth filter, and Linear Quadratic Regulator (LQR) controllers are designed and compared to find the best control gain matrix for the dryer. Using a comprehensive simulation routine, the stated control methods are used to control the final moisture content and the temperature of husk rice grains. It is shown that the controller is able to control the process in about 50 minutes.

Original languageEnglish
Title of host publication2016 4th International Conference on Control, Instrumentation, and Automation, ICCIA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-51
Number of pages6
ISBN (Electronic)9781467387040
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event4th International Conference on Control, Instrumentation, and Automation, ICCIA 2016 - Qazvin, Iran, Islamic Republic of
Duration: 27 Jan 201628 Jan 2016

Publication series

Name2016 4th International Conference on Control, Instrumentation, and Automation, ICCIA 2016

Conference

Conference4th International Conference on Control, Instrumentation, and Automation, ICCIA 2016
Country/TerritoryIran, Islamic Republic of
CityQazvin
Period27/01/1628/01/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Dynamics Modelling
  • Fluidized Bed Dryer
  • Optimal Control
  • Thermal System

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