Articles | Volume 14, issue 1
https://doi.org/10.5194/ms-14-247-2023
https://doi.org/10.5194/ms-14-247-2023
Research article
 | 
15 Jun 2023
Research article |  | 15 Jun 2023

Intelligent vehicle obstacle avoidance path-tracking control based on adaptive model predictive control

Baorui Miao and Chao Han

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Latest update: 23 Nov 2024
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Short summary
Obstacle avoidance and path-tracking control of intelligent vehicles have always been the key issues of intelligent vehicles. This paper improves the traditional model predictive control algorithm. According to the simulation results, compared with the traditional model predictive control, the proposed adaptive model predictive control algorithm can not only avoid obstacles, but also improve the vehicle path-tracking accuracy and driving stability.