Active Suspension Parameters Identification: An Algebraic Approach and its Application to Suspension Travel Control

Zejiang Wang, Anye Zhou, Adian Cook, Yunli Shao, Junmin Wang

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

Abstract

The parameters of an active suspension need to be identified online, such that the suspension control system can be adapted to mechanical wear and load change. Recursive least squares and observer-based methods are frequently utilized to fulfill this purpose. However, they can yield slow parameter identification due to their asymptotic nature. We propose an algebraic identifier to estimate the parameters of an active suspension online, which does not maintain an asymptotic convergence phase. Simulation results demonstrate the effectiveness of the proposed algebraic approach.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsMarcello Canova
PublisherElsevier B.V.
Pages73-78
Number of pages6
Edition3
ISBN (Electronic)9781713872344
DOIs
StatePublished - Oct 1 2023
Event3rd Modeling, Estimation and Control Conference, MECC 2023 - Lake Tahoe, United States
Duration: Oct 2 2023Oct 5 2023

Publication series

NameIFAC-PapersOnLine
Number3
Volume56
ISSN (Electronic)2405-8963

Conference

Conference3rd Modeling, Estimation and Control Conference, MECC 2023
Country/TerritoryUnited States
CityLake Tahoe
Period10/2/2310/5/23

Funding

This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Keywords

  • Active suspension
  • algebraic estimation
  • parameter identification

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