Fault tolerancy in Cooperative Adaptive Cruise Control

E. V. Nunen, J. Ploeg, A. I. Medina, H. Nijmeijer
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引用次数: 15

Abstract

Future mobility requires sound solutions in the field of fault tolerance in real-time applications amongst which Cooperative Adaptive Cruise Control (CACC). This control system cannot rely on the driver as a backup and is constantly active and therefore more prominent to the occurrences of faults (such as packet loss in the wireless communication). This paper presents an algorithm which uses the availability of sensor-data in each moment in time to calculate in real-time a safe distance for the CACC system. This safe distance consists of a velocity dependent part and a constant part, both important settings in the spacing policy for the CACC. A critical scenario for which CACC should still be functional is chosen, mathematical models of the system response are derived and errors are modeled. The model enables the calculation of differences in braking distances, which leads to a required safe distance. This approach makes the dynamic algorithm useful for sensor faults. The algorithm is implemented in a test vehicle and test results are presented.
协同自适应巡航控制中的容错
未来的移动性需要在实时应用中的容错领域提供完善的解决方案,其中包括协作自适应巡航控制(CACC)。这种控制系统不能依赖驱动程序作为备份,并且是持续活动的,因此对故障(如无线通信中的丢包)的发生更加突出。本文提出了一种利用各时刻传感器数据的可用性来实时计算CACC系统安全距离的算法。该安全距离由速度相关部分和恒定部分组成,两者都是CACC间距策略中的重要设置。选择CACC仍应发挥作用的关键场景,推导系统响应的数学模型并对误差进行建模。该模型可以计算制动距离的差异,从而得出所需的安全距离。这种方法使得动态算法在传感器故障时非常有用。在试验车上实现了该算法,并给出了试验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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