Coordinated Control Strategy for Stability Control and Trajectory Tracking with Wheel-Driven Autonomous Vehicles Under Harsh Situations

A coordinated strategy is proposed to prevent interference between trajectory tracking control and stability control in wheel-driven autonomous vehicles. A tire cornering stiffness estimate model is developed using the recursive least squares approach with a forgetting factor (FFRLS), resulting in precise estimation of tire cornering stiffness. An adaptive trajectory tracking control is developed, utilizing real-time updates of tire cornering stiffness; for the direct yaw moment required for stability control, an integral sliding-mode control is adopted, and the chatter problem of the integral sliding-mode controller is optimized by a fuzzy controller. The coordinated control of trajectory tracking and vehicle stability is ultimately attained through the application of the normalized stability index. The method’s practicality is validated by the hardware-in-the-loop simulation platform.

Authors

Institutions

Publication Details

Journal
World Electric Vehicle Journal
Published
2025-03-11
DOI
https://doi.org/10.3390/wevj16030163
Citations
2
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
1.37

Funders

Controls
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article

Coordinated Control Strategy for Stability Control and Trajectory Tracking with Wheel-Driven Autonomous Vehicles Under Harsh Situations

Wei Shao, Gang Liu
2 citations
World Electric Vehicle Journal
Vehicle Dynamics and Control Systems
1.37
article

Coordinated Control Strategy for Stability Control and Trajectory Tracking with Wheel-Driven Autonomous Vehicles Under Harsh Situations

Wei Shao, Gang Liu
article en
2 citations

Abstract

A coordinated strategy is proposed to prevent interference between trajectory tracking control and stability control in wheel-driven autonomous vehicles. A tire cornering stiffness estimate model is developed using the recursive least squares approach with a forgetting factor (FFRLS), resulting in precise estimation of tire cornering stiffness. An adaptive trajectory tracking control is developed, utilizing real-time updates of tire cornering stiffness; for the direct yaw moment required for stability control, an integral sliding-mode control is adopted, and the chatter problem of the integral sliding-mode controller is optimized by a fuzzy controller. The coordinated control of trajectory tracking and vehicle stability is ultimately attained through the application of the normalized stability index. The method’s practicality is validated by the hardware-in-the-loop simulation platform.

World Electric Vehicle JournalVol. 16(3)
Nanjing Tech University (CN), Henan Institute of Technology (CN)
Henan Provincial Science and Technology Research Project
Openalex Percentile: Top 21%
Vehicle Dynamics and Control Systems
1.37
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