Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

H2 Optimal Sliding Hyperplane Design of Discrete-Time Integral Sliding-Mode Control for Automated Driving Vehicles

Authors
Kim, Jin SungChung, Chung Choo
Issue Date
May-2025
Publisher
Institute of Electrical and Electronics Engineers
Keywords
Autonomous driving; lane-keeping system; linear matrix inequalities; sliding-mode control (SMC)
Citation
IEEE Transactions on Industrial Informatics, v.21, no.5, pp 3976 - 3985
Pages
10
Indexed
SCIE
SCOPUS
Journal Title
IEEE Transactions on Industrial Informatics
Volume
21
Number
5
Start Page
3976
End Page
3985
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212804
DOI
10.1109/TII.2025.3537615
ISSN
1551-3203
1941-0050
Abstract
This article proposes the optimal discrete-time integral sliding-mode control for unmatched external signal compensation in a lane-keeping system on curved roads. Since curved roads appear as an external signal in a lateral vehicle motion model, improving the tracking performance with external signal compensation is necessary. To tackle the problem, we solve the optimization problem of obtaining the optimal sliding surface that minimizes the H2 norm of the transfer matrix from the external signal to the system state of interest. As a result, robust performance in the sense of H2 is guaranteed in the proposed framework. We provide a theorem to prove the H2 performance and present the design process. The proposed method is applied to lateral vehicle control to validate the effectiveness via numerical simulation and real-world experiments. A comparative study confirmed that the tracking performance of the proposed algorithm outperforms those of other methods on curved roads.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE