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Optimal Control of Connected Vehicle Systems With Communication Delay and Driver Reaction Time

机译:具有通信延迟和驾驶员反应时间的互联车辆系统的最优控制

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In this paper, linear quadratic regulation is used to obtain an optimal design of connected cruise control (CCC). We consider vehicle strings where a CCC vehicle receives position and velocity signals through wireless vehicle-to-vehicle communication from multiple vehicles ahead. Communication delay, driver reaction time, and heterogeneity of vehicles are considered. The optimal feedback law is obtained by minimizing a cost function defined by headway and velocity errors and the acceleration of the CCC vehicle on an infinite horizon. We show that, by decomposing the optimization problem, the feedback gains can be obtained recursively as signals from vehicles farther ahead become available, and that the gains decay exponentially with the number of cars between the source of the signal and the CCC vehicle. Such properties allow graceful degradation of CCC performance under imperfect communication. The effects of the cost function on the head-to-tail string stability are also investigated and the robustness against variations in human parameters is tested. The analytical results are verified by numerical simulations at the nonlinear level. The results allow us to significantly reduce the complexity of CCC design.
机译:在本文中,使用线性二次调节来获得连接巡航控制(CCC)的最佳设计。我们考虑了CCC车辆通过前方多辆车辆之间的无线车对车通信接收位置和速度信号的车串。考虑通信延迟,驾驶员反应时间和车辆的异构性。通过最小化由车速和速度误差以及CCC车辆在无限地平线上的加速度定义的成本函数,可以获得最佳反馈律。我们表明,通过分解优化问题,可以从较远的车辆获得信号时递归获得反馈增益,并且增益随信号源与CCC车辆之间的汽车数量呈指数衰减。这些特性允许在不完善的通信下适度降低CCC性能。还研究了成本函数对头至尾弦稳定性的影响,并测试了针对人类参数变化的鲁棒性。通过非线性水平的数值模拟验证了分析结果。结果使我们能够大大降低CCC设计的复杂性。

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