Sensorless monitoring and analysis of grinding process using disturbance observer

Naoaki Oka, Seiichiro Katsura

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

Abstract

The automation of things has been further demanded due to various environmental changes such as declining birthrate, aging population, and declining labor force in recent years. Automation of processing is important in the manufacturing industry. The proposed servo grinder system is able to provide feedback to the servo motor based on various environmental conditions. Considering a nonlinear system that is strongly influenced by various environmental conditions, it can be extended to various machines, which will lead to further automation of things. In this paper, as an example of a non-linear system, coffee beans with various environmental parameters were the subject of the experiment, and an analysis was conducted for the purpose of building a grind model. As a result of the experiment, new properties of coffee beans were able to find. In the future, the accuracy of control of non-linear systems with various conditions will increase by analyzing the relationship between the processing conditions and particle size of coffee beans. It can also be applied to machine tool control by generalizing the constructed theory.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-88
Number of pages6
ISBN (Electronic)9781728157542
DOIs
Publication statusPublished - 2020 Feb
Event21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duration: 2020 Feb 262020 Feb 28

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2020-February

Conference

Conference21st IEEE International Conference on Industrial Technology, ICIT 2020
CountryArgentina
CityBuenos Aires
Period20/2/2620/2/28

Keywords

  • Distribution
  • Position control
  • Velocity control

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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