Hybrid Velocity/Force Filtered Integral-Proportional Control for Damping of Torsional Vibration

Kosuke Shikata, Krzysztof Szabat, Seiichiro Katsura

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

Abstract

This study introduces a methodology for vibration damping based on hybrid control of velocity (or angular velocity) and force (or torque). The hybrid velocity/force integral-proportional controller is developed using the wave model, which accounts for interferences between traveling and reflected waves that induce vibration. Central to the proposed approach is treating the traveling wave as a state variable and the reflected waves as disturbances, thereby enabling velocity control of the load in a backstepping manner. Furthermore, this study addresses the issue of steady-state deviation under load disturbances by incorporating a high-pass filter into the force integral feedback. Experimental results validate the effectiveness of the proposed controller and filter.

Original languageEnglish
Title of host publication2024 IEEE 21st International Power Electronics and Motion Control Conference, PEMC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350385236
DOIs
Publication statusPublished - 2024
Event21st IEEE International Power Electronics and Motion Control Conference, PEMC 2024 - Pilsen, Czech Republic
Duration: 2024 Sept 302024 Oct 3

Publication series

Name2024 IEEE 21st International Power Electronics and Motion Control Conference, PEMC 2024

Conference

Conference21st IEEE International Power Electronics and Motion Control Conference, PEMC 2024
Country/TerritoryCzech Republic
CityPilsen
Period24/9/3024/10/3

Keywords

  • filter
  • integral-proportional (IP) control
  • Motion control
  • state observer
  • vibration suppression

ASJC Scopus subject areas

  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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