Robust Approximate Constraint-Following Control for Autonomous Vehicle Platoon Systems

2017 ◽  
Vol 20 (4) ◽  
pp. 1611-1623 ◽  
Author(s):  
Xiaomin Zhao ◽  
Y. H. Chen ◽  
Han Zhao
2021 ◽  
Vol 404 ◽  
pp. 126246
Author(s):  
Weiping Wang ◽  
Chunyang Wang ◽  
Zhen Wang ◽  
Baijing Han ◽  
Chang He ◽  
...  

Author(s):  
Zuobin Ying ◽  
Maode Ma ◽  
Zijun Zhao ◽  
Ximeng Liu ◽  
Jianfeng Ma

Author(s):  
Shuming Shi ◽  
Ling Li ◽  
Yu Mu ◽  
Guanghui Chen

Vehicular ad hoc network and cooperative adaptive cruise control system make vehicle platooning with small headway feasible. In the study of the autonomous vehicle platoon system under the vehicular ad hoc network condition, the linear vehicle model is usually used to analyze the minimum space-gap, safety space-gap, and so on. However, the stability of nonlinear vehicle system shows that there are limitations when using the linearized vehicle model to analyze vehicle stability. The linear model cannot reflect the influence of the system nonlinear coupling on the vehicle stability. Therefore, in this paper, we use the validated 5-degree-of-freedom (longitudinal velocity, lateral velocity, yaw rate, front wheel rotational velocity, and rear wheel rotational velocity) nonlinear model to analyze the stable intra-platoon spacing of the autonomous vehicle platoon system under the condition of VANET. In order to study the safety intra-platoon spacing of vehicle platoon running in the complex path, a following controller is designed for vehicle platoon running in the corners. The controller adopts the method of vertical and horizontal decentralized control. The longitudinal control is to realize the expected space-gap of vehicles in vehicle platoon, and the lateral control is to achieve the position and orientation following of the preceding vehicle. Based on the stability verification of the following controller, the following control characteristics of vehicle system are analyzed, and the stable headway required for vehicles in vehicle platoon running in the complex path is predicted by the method of simulation experiment.


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