Pitching Vibration Suppression Control of Vehicle System by Frequency-weighted Linear Quadratic Integrator for Driving Motor

Yusuke Nakamura, Toshiyuki Murakami

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

Abstract

This paper aims to realize the pitching vibration suppressing control for the Electrical Vehicle(EV). Over many years, the active suspension has been studied as an effective technology to suppress the vehicle vibration, however it requires additional parts and consumes the enormous electric power. This paper shows the vibration suppressing method utilizing the inertial force generated by the driving motor, and it achieves the low power consumption. Through realizing the control method considering the passengers' comfortability, Frequency-weighted Linear Quadratic Gaussian was expanded to Linear Quadratic Integrator system in this paper. To validate the effectiveness of the proposed method, the simulation has been carried out, and it was confirmed to suppress the vehicle body vibration.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages485-490
Number of pages6
ISBN (Electronic)9781728148786
DOIs
Publication statusPublished - 2019 Oct
Event45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal
Duration: 2019 Oct 142019 Oct 17

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2019-October

Conference

Conference45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
Country/TerritoryPortugal
CityLisbon
Period19/10/1419/10/17

Keywords

  • Disturbance Observer(DOB)
  • Electric Vehicle(EV)
  • Feeling Characteristics
  • Frequency-weighted Linear Quadratic Gaussian(FWLQG)
  • Kalman Filter
  • Linear Quadratic Integra-tor(LQI)
  • Vibration Suppressing Control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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