- By:
- Wang, Zejiang ; Shao, Yunli ; Cook, Adian S; Wang, Junmin
- Journal Name:
- IFAC-PapersOnLine
- Page Number:
- 73-78
- Volume:
- 56
- Issue Number:
- 3
- Publication Date:
- March 12, 2026
- Conference Name:
- Modeling, Estimation and Control Conference (MECC 2023)
- Conference Location:
- Lake Tahoe, Nevada, United States of America
- Conference Sponsor:
- American Automatic Control Council (AACC)
- View DOI Listing:
- https://doi.org/10.1016/j.ifacol.2023.12.003
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.
