ROBUST APPROXIMATE CONSTRAINT-FOLLOWING CONTROL FOR AUTONOMOUS VEHICLE PLATOON SYSTEMS
ROBUST APPROXIMATE CONSTRAINT-FOLLOWING CONTROL FOR AUTONOMOUS VEHICLE PLATOON SYSTEMS
复制标题
自动车辆排系统的鲁棒近似约束跟随控制
DOI:
10.1002/asjc.1676
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发表时间:
2018
影响因子:
2.4
通讯作者:
Zhao Han
中科院分区:
文献类型:
--
作者:
Zhao Xiaomin;Chen Y. H.;Zhao Han
We consider an autonomous vehicle platoon system consisting ofN+1 vehicles in the presence of modeling uncertainty. The uncertainty may be due to parameter variations, aerodynamics, external disturbances, etc., which is nonlinear and time‐varying. Subject to the collision avoidance consideration, the original state is one‐sided restricted. To resolve this restriction, we propose a state transformation to convert the bounded state into a globally unbounded state. Furthermore, motivated by the properties of artificial swarm systems, we incorporate the swarm system performance into the platoon system by treating it as a d'Alembert's constraint. By the Udwadia and Kalaba's approach, we obtain the analytic (closed‐form) expression of the constraint force. Based on this, a class of robust controls for each vehicle (except the leading vehicle) is proposed to drive the platoon system to follow the ideal swarm model. Four major system performances are accomplished: (i)compact vehicle formation, (ii)collision avoidance, (iii)stable platoon system formation, (iv)global behavior.