Adaptive robust active suspension control based on intelligent road classifier

  • Yechen Qin
  • , Mingming Dong
  • , Changle Xiang
  • , Tariq Kareemulla
  • , Jagat J. Rath*
  • , Chouki Sentouh
  • , Jean Christophe Popieul
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper an intelligent robust feedback control approach is proposed for the nonlinear disturbed suspension system. The nonlinear controller is formulated based on the integral higher order sliding mode with control parameters optimized using Particle Swarm Optimization technique. A novel classifier invariant to changes in control parameters is developed to detect the road class. Subsequently in the real time, based on system responses the road level is detected by the classifier and accordingly the optimized control parameters are selected to implement the controller. The closed loop stability of the proposed approach is established and simulation results for different road classed are presented to show improvement in passenger comfort.

Original languageEnglish
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages861-866
Number of pages6
ISBN (Electronic)9781509028733
DOIs
Publication statusPublished - 28 Jun 2017
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: 12 Dec 201715 Dec 2017

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Conference

Conference56th IEEE Annual Conference on Decision and Control, CDC 2017
Country/TerritoryAustralia
CityMelbourne
Period12/12/1715/12/17

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