Direct yaw moment-based vehicle stability control system for eight-wheeled vehicles
This paper presents a vehicle stability control system using a direct yaw moment control for a vehicle with an eight-wheeled independent driving/braking and a four-wheeled steering system. The controller was designed based on a hierarchical control structure comprised of upper- and lower-layer contr...
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Published in | International journal of dynamics and control Vol. 13; no. 9 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.09.2025
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 2195-268X 2195-2698 |
DOI | 10.1007/s40435-025-01811-6 |
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Summary: | This paper presents a vehicle stability control system using a direct yaw moment control for a vehicle with an eight-wheeled independent driving/braking and a four-wheeled steering system. The controller was designed based on a hierarchical control structure comprised of upper- and lower-layer controllers. Two single-input fuzzy logic controllers were employed in the upper-layer controller to determine the desired direct yaw moment based on the errors between the desired and actual yaw rates and sideslip angles. A desired vehicle model was used to compute the desired sideslip angle and yaw rate. To distribute the desired direct yaw moment, an optimal tyre force distribution technique, known as a two-stage weighted square sum minimisation (WSSM) of tyre workload, was employed in the lower layer to ensure the efficient allocation of longitudinal tyre forces while minimising the tyre workload. Matlab/Simulink simulations were conducted to assess the performance of the control system in maintaining vehicle stability during step-steer and braking-in-turn manoeuvres. The simulation results demonstrated that the two-stage WSSM of tyre workload outperformed the ordinary WSSM of tyre workload and achieved smaller root mean square errors for yaw rate and sideslip angle and a lower maximum tyre workload. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 2195-268X 2195-2698 |
DOI: | 10.1007/s40435-025-01811-6 |