Trajectory tracking using optimal tyre force distribution for obstacle avoidance

When a collision with an obstacle is imminent, the vehicle should autonomously avoid the obstacle if no corrective action is taken by a human driver. This paper addresses the collision avoidance problem by using simultaneous steering and braking. Using proportional and proportional-derivative contro...

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Bibliographic Details
Main Authors: Phuman Singh, Amrik Singh, Leong Zhin, Adam Puah, Mat Darus, Intan Zaurah
Format: Article
Language:en
Published: Inderscience Enterprises Ltd. 2025
Online Access:http://eprints.utem.edu.my/id/eprint/29071/2/01799250520251128481822.pdf
http://eprints.utem.edu.my/id/eprint/29071/
https://www.inderscienceonline.com/doi/abs/10.1504/IJVAS.2025.146147
https://doi.org/10.1504/IJVAS.2025.146147
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Summary:When a collision with an obstacle is imminent, the vehicle should autonomously avoid the obstacle if no corrective action is taken by a human driver. This paper addresses the collision avoidance problem by using simultaneous steering and braking. Using proportional and proportional-derivative controllers, we first compute the desired longitudinal and lateral vehicle forces and yaw moment. These forces and moment were distributed to the desired longitudinal and lateral tyre forces by reducing the tyre workload. A two-stage weighted square sum minimisation of the tyre workload is considered in this paper, and the optimal direct yaw moment, which is used to control the vehicle motion, is derived analytically. The proposed method updates the weights in the optimisation problem by using the tyre workloads obtained in the first stage. Numerical examples demonstrate the effectiveness of the proposed method in achieving a lower maximum tyre workload while maintaining vehicle stability compared to an ordinary weighted square sum minimisation in which the weights in the optimisation problem are set to be equal to 1.