Modeling and Control of Two-mass Resonant System Based on Element Description Method

Issei Takeuchi, Toshiki Kaneda, Seiichiro Katsura

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

6 Citations (Scopus)

Abstract

This paper introduces a semi-automatic modeling and controller design method of vibration system based on an element description method. Generally, the controller of a vibration system is designed by approximating the control target to a multi-mass resonant system. In this study, the vibration system is semi-automatically approximated to a two-mass resonant system by the element description method. After that, the controller is semi-automatically derived based on the approximation. The results of modeling and control generation by the element description method have clear physical meanings and can be explicit knowledge. Experiments with beams and weights confirm the validity of this design framework. From the experimental results, it is confirmed that the controller of the resonant ratio control is automatically generated, and the controller capable of interpreting the physical meaning can be automatically generated by the element description method.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728190235
DOIs
Publication statusPublished - 2021 Jun 20
Event30th IEEE International Symposium on Industrial Electronics, ISIE 2021 - Kyoto, Japan
Duration: 2021 Jun 202021 Jun 23

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2021-June

Conference

Conference30th IEEE International Symposium on Industrial Electronics, ISIE 2021
Country/TerritoryJapan
CityKyoto
Period21/6/2021/6/23

Keywords

  • element description method
  • system identification
  • two-mass resonant system
  • vibration system

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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