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Department of Robotics and Mechatronics Engineering
MCL(Motion Control Lab)
2. Conference Papers
Intuitive Human-Machine Steering Interface for 4WIS and Synchronous Steering Interaction Control Considering Steering Intention
Hwang, Jihoon
;
Seo, Younghoon
;
Oh, Sehoon
;
Nam, Kanghyun
Department of Robotics and Mechatronics Engineering
MCL(Motion Control Lab)
2. Conference Papers
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Title
Intuitive Human-Machine Steering Interface for 4WIS and Synchronous Steering Interaction Control Considering Steering Intention
Issued Date
2025-06-20
Citation
34th International Symposium on Industrial Electronics. ISIE 2025, pp.1 - 6
Type
Conference Paper
ISBN
9798350374797
ISSN
2163-5145
Abstract
Recent advancements in electric chassis technologies such as steer-by-wire (SBW), in-wheel motors, and e-corner modules have highlighted the potential of four-wheel independent steering (4WIS) vehicles. Although these vehicles offer expanded motion capabilities, conventional interfaces with one steering DOF are insufficient to implement expanded motions. To address this, this paper proposes an intuitive human-machine steering interface (HMSI) capable of effectively capturing driver steering intention with synchronous steering interaction control. The proposed HMSI supplements the conventional steering wheel with additional DOFs, enabling intuitive and continuous control of various vehicle motions. The developed control method distinguishes intentional steering inputs from unintended disturbances, providing clean steering commands suitable for safe vehicle control. Driver torque inputs are estimated using a sensorless disturbance observer-based approach, while an admittance control-based interaction model dynamically provides steering force feedback. Experiments validate that unintended motions are effectively damped, and intentional steering inputs are extracted, ensuring stable vehicle handling. Additionally, the proposed system demonstrates the capability to vary steering feel, paving the way for future research on adaptive steering feel generation and motion-command methodologies in 4WIS vehicles. © 2025 Elsevier B.V., All rights reserved.
URI
https://scholar.dgist.ac.kr/handle/20.500.11750/59152
DOI
10.1109/ISIE62713.2025.11124632
Publisher
IEEE Industrial Electronics Society
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