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CSME 2025/06
Volume 46 No.3
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279-286
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A Comparative Study of Physical and Data-Driven Models for Systems with Friction and Application to Engine Actuators
Zhenxing Ren a and Jianfeng Guo a
aLecturer, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, Shanxi, PRC.
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Abstract:
In automotive applications, especially for the development of Electronic Control Units (ECU), Hardware-in-the-Loop (HiL) simulation plays a significant role, which requires high-precision models to simulate vehicles with key components like engine actuators. Most actuators are mechatronic systems with significant friction effects such that modeling these systems is not an easy task. This paper presents a comparative study of physical, Sliding-Mode-Observer-based (SMO) and data-driven models for systems with friction and application to mechatronic throttle. Case studies with automotive actuators show that proposed methods can achieve higher model quality, which is sufficient for the HiL simulation.
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Keywords: Keywords: Physical modeling, data-driven modeling system identification, Hardware-in-the-Loop-Simulation
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©
2025
CSME , ISSN 0257-9731
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