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Multi-Objective Robust Non-Fragile H∞ Control for Active Suspension System with Parameter Uncertainty

  • Beijing Institute of Technology
  • The first representative Office in Baotou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An approach to devising multi-objective robust non-fragile H∞ controller for vehicle suspension systems with parameter uncertainties and controller disturbances is put forward in this paper. Based on the performance evaluation indicators of the suspension system, Ride comfort is reflected through H∞ performance, while using state-space ellipsoids to capture time-domain hard constraints. The circumstance for the presence of multi-objective robust non-fragile H∞controller is proposed, as derived from the Lyapunov stability theory, and the designed controller can be obtained by solving a linear matrix inequality (LMI). The simulation results of quarter vehicle suspension model show that although there is parameter uncertainty and controller gain variation, the proposed control strategy can achieve good ride comfort under given constraint conditions and meet the requirements of dynamic suspension deflection, dynamic tire load, and required control force.

Original languageEnglish
Title of host publicationProceedings - 2023 China Automation Congress, CAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3279-3284
Number of pages6
ISBN (Electronic)9798350303759
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 China Automation Congress, CAC 2023 - Chongqing, China
Duration: 17 Nov 2023 → 19 Nov 2023

Publication series

NameProceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference2023 China Automation Congress, CAC 2023
Country/TerritoryChina
CityChongqing
Period17/11/23 → 19/11/23

Keywords

  • Lyapunov stability
  • linear matrix inequality
  • parameter uncertainty
  • robust non-fragile control
  • time-domain constraints

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