An adaptive second‐order sliding mode control based on sliding mode filter for active front steering system

Abstract In order to promote the driving stability of in‐wheel electric vehicles, this paper proposes an adaptive second‐order sliding mode (ASOSM) for an active front wheel steering (AFS) system, where the new adaptive strategy is able to automatically seek the minimum control gain to mitigate chattering issue in sliding mode control and enhance the stability and safety of in‐wheel electric vehicles. Firstly, a two‐degree‐of‐freedom (2‐DOF) vehicle model is established via vehicle dynamics analysis to obtain the desired yaw rate. Secondly, an adaptive law is developed via the equivalent control on the grounds of the second‐order sliding mode (SOSM) dynamics, where the average value of sign function is obtained from Arie Levant's differentiator. Thirdly, to avoid overestimating gain, a SOSM combined with the designed adaptive law is applied to the AFS system. Finally, the outcomes of co‐simulation involving CarSim and Matlab/Simulink indicate that the ASOSM controller proposed in this paper can precisely track the ideal yaw rate to improve vehicle stability.

Authors

Institutions

Publication Details

Journal
Asian Journal of Control
Published
2026-02-04
DOI
https://doi.org/10.1002/asjc.70049
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An adaptive second‐order sliding mode control based on sliding mode filter for active front steering system

Jinlin Sun, Lu Liu, Shihong Ding, Wenjie Huang
Asian Journal of Control
Vehicle Dynamics and Control Systems
article

An adaptive second‐order sliding mode control based on sliding mode filter for active front steering system

Jinlin Sun, Lu Liu, Shihong Ding, Wenjie Huang
article en

Abstract

Abstract In order to promote the driving stability of in‐wheel electric vehicles, this paper proposes an adaptive second‐order sliding mode (ASOSM) for an active front wheel steering (AFS) system, where the new adaptive strategy is able to automatically seek the minimum control gain to mitigate chattering issue in sliding mode control and enhance the stability and safety of in‐wheel electric vehicles. Firstly, a two‐degree‐of‐freedom (2‐DOF) vehicle model is established via vehicle dynamics analysis to obtain the desired yaw rate. Secondly, an adaptive law is developed via the equivalent control on the grounds of the second‐order sliding mode (SOSM) dynamics, where the average value of sign function is obtained from Arie Levant's differentiator. Thirdly, to avoid overestimating gain, a SOSM combined with the designed adaptive law is applied to the AFS system. Finally, the outcomes of co‐simulation involving CarSim and Matlab/Simulink indicate that the ASOSM controller proposed in this paper can precisely track the ideal yaw rate to improve vehicle stability.

Asian Journal of Control
Jiangsu University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 65%
Vehicle Dynamics and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.