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Intelligent Bus Platoon Lateral and Longitudinal Control Method Based on Finite-Time Sliding Mode
Lingli Yu1, Yu Bai1, Zongxv Kuang1
1School of Automation, Central South University, Changsha 410083, China.
This study introduces a finite-time control method for intelligent bus platoons, ensuring rapid convergence of tracking errors. The proposed system enhances stability and practical applicability for autonomous vehicle coordination.
Area of Science:
- Control Systems Engineering
- Automotive Engineering
- Robotics
Background:
- Intelligent vehicle platoons require precise longitudinal and lateral control for safety and efficiency.
- Existing control methods may face challenges in achieving rapid error convergence and robust stability.
Purpose of the Study:
- To propose a novel finite-time tracking control method for intelligent bus platoons.
- To enhance the convergence speed of longitudinal and lateral tracking errors.
- To ensure finite-time stability and string stability of the platoon.
Main Methods:
- Design of a distributed longitudinal and lateral finite-time sliding mode tracking control framework.
- Development of a nonsingular integral terminal sliding mode (NITSM) controller.
- Proposal of an adaptive power integral reaching law (APIRL) for finite-time convergence.
- Utilizing Lyapunov functions for stability analysis.
Main Results:
- The proposed NITSM-APIRL controller demonstrated effective finite-time tracking control for bus platoons.
- Simulation experiments on Trucksim/Simulink validated superior performance compared to existing methods.
- Real-world vehicle tests confirmed the method's practicability and robustness.
Conclusions:
- The developed finite-time sliding mode control strategy ensures rapid and stable platoon coordination.
- The method offers a practical solution for enhancing the performance of intelligent connected vehicles.
- This research contributes to the advancement of autonomous driving systems.
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