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 language | English |
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Title of host publication | IFAC-PapersOnLine |
Editors | Marcello Canova |
Publisher | Elsevier B.V. |
Pages | 73-78 |
Number of pages | 6 |
Edition | 3 |
ISBN (Electronic) | 9781713872344 |
DOIs | |
State | Published - Oct 1 2023 |
Event | 3rd Modeling, Estimation and Control Conference, MECC 2023 - Lake Tahoe, United States Duration: Oct 2 2023 → Oct 5 2023 |
Publication series
Name | IFAC-PapersOnLine |
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Number | 3 |
Volume | 56 |
ISSN (Electronic) | 2405-8963 |
Conference
Conference | 3rd Modeling, Estimation and Control Conference, MECC 2023 |
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Country/Territory | United States |
City | Lake Tahoe |
Period | 10/2/23 → 10/5/23 |
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