Finite-memory estimation for vehicle roll and road bank angles

Hong Bae Jeong; Choon Ki Ahn; Sung Hyun You; Ki Mo Sohn

doi:10.1109/TIE.2018.2868295

Finite-memory estimation for vehicle roll and road bank angles

Hong Bae Jeong, Choon Ki Ahn, Sung Hyun You, Ki Mo Sohn

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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.

Original language	English
Article number	8458375
Pages (from-to)	5423-5432
Number of pages	10
Journal	IEEE Transactions on Industrial Electronics
Volume	66
Issue number	7
DOIs	https://doi.org/10.1109/TIE.2018.2868295
Publication status	Published - 2019 Jul

Bibliographical note

Funding Information:
Manuscript received November 15, 2017; revised February 19, 2018 and May 1, 2018; accepted August 15, 2018. Date of publication September 10, 2018; date of current version February 28, 2019. This work was supported in part by the National Research Foundation of Korea through the Ministry of Science, ICT, and Future Planning under Grant NRF-2017R1A1A1A05001325 and in part by the Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning through the Ministry of Trade, Industry and Energy, South Korea, under Grant 20174030201820. (Corresponding author: Choon Ki Ahn.) H. B. Jeong and K. M. Sohn are with the Intelligent Vehicle Safety System Development Division, Hyundai Motor Company, Hwaseong 445-706, South Korea (e-mail:, [email protected]; kimosohn@ hyundai.com).

Publisher Copyright:
© 1982-2012 IEEE.

Keywords

Finite memory (FM)
robust estimation
vehicle roll and road bank angles

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/TIE.2018.2868295

Cite this

@article{385a002ade1c4591b834033cc3ceead1,

title = "Finite-memory estimation for vehicle roll and road bank angles",

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.",

keywords = "Finite memory (FM), robust estimation, vehicle roll and road bank angles",

author = "Jeong, {Hong Bae} and Ahn, {Choon Ki} and You, {Sung Hyun} and Sohn, {Ki Mo}",

note = "Funding Information: Manuscript received November 15, 2017; revised February 19, 2018 and May 1, 2018; accepted August 15, 2018. Date of publication September 10, 2018; date of current version February 28, 2019. This work was supported in part by the National Research Foundation of Korea through the Ministry of Science, ICT, and Future Planning under Grant NRF-2017R1A1A1A05001325 and in part by the Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning through the Ministry of Trade, Industry and Energy, South Korea, under Grant 20174030201820. (Corresponding author: Choon Ki Ahn.) H. B. Jeong and K. M. Sohn are with the Intelligent Vehicle Safety System Development Division, Hyundai Motor Company, Hwaseong 445-706, South Korea (e-mail:, [email protected]; kimosohn@ hyundai.com). Publisher Copyright: {\textcopyright} 1982-2012 IEEE.",

year = "2019",

month = jul,

doi = "10.1109/TIE.2018.2868295",

language = "English",

volume = "66",

pages = "5423--5432",

journal = "IEEE Transactions on Industrial Electronics",

issn = "0278-0046",

publisher = "IEEE Industrial Electronics Society",

number = "7",

}

TY - JOUR

T1 - Finite-memory estimation for vehicle roll and road bank angles

AU - Jeong, Hong Bae

AU - Ahn, Choon Ki

AU - You, Sung Hyun

AU - Sohn, Ki Mo

N1 - Funding Information: Manuscript received November 15, 2017; revised February 19, 2018 and May 1, 2018; accepted August 15, 2018. Date of publication September 10, 2018; date of current version February 28, 2019. This work was supported in part by the National Research Foundation of Korea through the Ministry of Science, ICT, and Future Planning under Grant NRF-2017R1A1A1A05001325 and in part by the Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning through the Ministry of Trade, Industry and Energy, South Korea, under Grant 20174030201820. (Corresponding author: Choon Ki Ahn.) H. B. Jeong and K. M. Sohn are with the Intelligent Vehicle Safety System Development Division, Hyundai Motor Company, Hwaseong 445-706, South Korea (e-mail:, [email protected]; kimosohn@ hyundai.com). Publisher Copyright: © 1982-2012 IEEE.

PY - 2019/7

Y1 - 2019/7

N2 - 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.

AB - 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.

KW - Finite memory (FM)

KW - robust estimation

KW - vehicle roll and road bank angles

UR - http://www.scopus.com/inward/record.url?scp=85053107536&partnerID=8YFLogxK

U2 - 10.1109/TIE.2018.2868295

DO - 10.1109/TIE.2018.2868295

M3 - Article

AN - SCOPUS:85053107536

SN - 0278-0046

VL - 66

SP - 5423

EP - 5432

JO - IEEE Transactions on Industrial Electronics

JF - IEEE Transactions on Industrial Electronics

IS - 7

M1 - 8458375

ER -

Finite-memory estimation for vehicle roll and road bank angles

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this