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Control Synthesis for Distributed Vehicle Platoon Under Different Topological Communication Structures

机译:不同拓扑通信结构下分布式车排的控制合成

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The wireless inter-vehicle communication provide a manner to achieve multi-vehicle cooperative driving, and the platoon of automotive vehicle can significantly improve traffic efficiency and ensure traffic safety. Previous researches mostly focus on the state of the proceeding vehicle, and transmit information from self to the succeeding vehicle. Nevertheless, this structure possesses high requirements for controller design and shows poor effect in system stability. In this paper, the state of vehicles is not only related to the information of neighbor vehicles, while V2V communication transmit information over a wide range of area. To begin with, the node dynamic model of vehicle is described by linear integrator with inertia delay and the space control strategy is proposed with different topological communication structures as BF, LBF, PBF, etc. After considering the influence of communication, the high-dimensional state space expression is proposed and converted to low-dimensional expression by matrix manipulation to benefit later research. An in-deep analysis of the feasible region of the controller is given then to guarantee the string stability of platoon, including the selection of the gain weighing coefficients (c) and the optimization of control gain (K). Furthermore, the highlight in this paper is that the optimization of traction matrix is optimized to make every vehicle have the same convergent performance and the comfort is considered in the optimization of control gain while few papers paying attention to this point. Eventually, simulation results are carried out to illustrate that reasonable topological communication structure benefit the system stability and riding comfort.
机译:无线车间通信提供了实现多车辆协作驾驶的方式,并且汽车车辆的排可以显着提高交通效率并确保交通安全。以前的研究大多专注于程序的状态,并将信息从自我传输到后续车辆。尽管如此,这种结构对控制器设计具有高要求,并且对系统稳定性效果不佳。在本文中,车辆的状态不仅与邻居车辆的信息有关,而V2V通信在广泛的区域上传输信息。首先,通过具有惯性延迟的线性积分器来描述车辆的节点动态模型,并且在考虑通信的影响之后,用不同的拓扑通信结构提出了空间控制策略。在考虑通信的影响之后,高维度,高维度,LBF,PBF等。通过矩阵操作提出并转换了状态空间表达并转换为低维表达,以便更晚研究。给出了对控制器的可行区域的深层分析,然后保证了排弦稳定性,包括选择增益称重系数(c)和控制增益的优化(k)。此外,本文的亮点是优化牵引矩阵的优化,以使每辆车具有相同的收敛性能,并且在对照增益的优化中考虑了舒适性,同时很少有纸张关注这一点。最终,进行了仿真结果,以说明合理的拓扑通信结构有利于系统稳定性和骑行舒适性。

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