Robust Stability of Active Suspension LQG Control for Railway Vehicle with Parametric Fluctuations

Kaushalendra K. Khadanga, Hee Hyol Lee

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

4 Citations (Scopus)

Abstract

Suspension systems have been the focus for improving passenger comfort in high speed trains. To analyze the effect of vibration on vehicle ride quality, a six DOF passenger railway vehicle with front and rear suspension is built. The random rail excitation in form of white noise is fed into a second order linear shaping filter. The front wheel and the rear wheels have been correlated by a second order Pade approximation. An active secondary system is designed using a Linear Quadratic Gaussian(LQG) optimal control system. The robustness of the control system is analyzed by including parametric fluctuations and structured uncertainties.

Original languageEnglish
Title of host publication2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728119960
DOIs
Publication statusPublished - 2018 Nov 27
Event2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 - Busan, Korea, Republic of
Duration: 2018 Sept 62018 Sept 8

Publication series

Name2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018

Other

Other2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018
Country/TerritoryKorea, Republic of
CityBusan
Period18/9/618/9/8

Keywords

  • active suspension
  • LQG
  • parametric fluctuations
  • railway vehicle
  • robustness
  • vibration

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Communication

Fingerprint

Dive into the research topics of 'Robust Stability of Active Suspension LQG Control for Railway Vehicle with Parametric Fluctuations'. Together they form a unique fingerprint.

Cite this