Finite-Memory Estimation for Vehicle Roll and Road Bank Angles
- Authors
- Jeong, Hong Bae; Ahn, Choon Ki; You, Sung Hyun; Sohn, Ki Mo
- Issue Date
- 7월-2019
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Finite memory (FM); robust estimation; vehicle roll and road bank angles
- Citation
- IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.66, no.7, pp.5423 - 5432
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Volume
- 66
- Number
- 7
- Start Page
- 5423
- End Page
- 5432
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/64206
- DOI
- 10.1109/TIE.2018.2868295
- ISSN
- 0278-0046
- Abstract
- This paper proposes a novel finite-memory (FM) estimation method for vehicle roll and road bank angles. We consider a three-degree-of-freedom model based on bicycle and vehicle roll models, where there exist uncertainties in the model parameters. The existing estimation methods may show poor performance for the considered model with uncertainties. The accumulated errors, which might be caused by modeling uncertainties and numerical errors, may degrade the performance of existing methods because they use all past measurements. To overcome the weaknesses of the existing methods, a new FM estimation method is proposed and can prevent accumulated errors by using recent finite measurements. Both the simulation and experimental results show that the proposed estimation method ensures more reliable and accurate performance than the existing methods under various driving conditions.
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Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
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