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EFFICIENT METHODS TO ASSESS LINEAR AND NON-LINEAR AUTOMOTIVE PLATOON CONTROL STABILITY AND PERFORMANCE

机译:评估线性和非线性汽车排控制稳定性和性能的高效方法

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This work proposes a set of methods and tools to analyse and quantify key performance aspects of controlled automotive platoons. These methods assess classical stability and string stability properties in both analytical and empirical settings. An automotive platoon consists of multiple tightly spaced vehicles which aim to follow a desired velocity or distance profile safely, autonomously, and efficiently. Cooperative vehicular platooning can greatly improve traffic efficiency and safety, while increasing traffic throughput and fuel efficiency. One difficulty for establishing a stable platoon, besides classical stability of individual vehicles, is known as ”string stability”. Essentially, in a string stable platoon, disturbances of any individual vehicle are not amplified along the platoon. In addition to stability, the performance of a platoon control structure must be quantified, for example by measuring disturbance rejection bandwidth / control error decay rate. Most of the proposed platoon control architectures developed in the past guarantee platoon stability/string stability only under restrictive assumptions. In this work tools and methods are proposed to analyse classical stability, error signal measures, as well as analytical and empirical string stability. This allows the user to evaluate platoon safety and performance for given control structures and conduct parameter studies at various levels of system complexity. To investigate platoon behaviour under realistic conditions, test scenarios are empirically evaluated in a co-simulation of multiple instances of the commercial simulation software IPG TruckMaker.
机译:这项工作提出了一系列方法和工具来分析和量化受控汽车粘盘的关键性能方面。这些方法评估分析和经验设置中的经典稳定性和串稳定性。汽车排由多个紧密间隔的车辆组成,其目的是安全,自动,有效地遵循所需的速度或距离轮廓。合作车辆排列可以大大提高交通效率和安全性,同时增加交通吞吐量和燃油效率。除了各个车辆的经典稳定性之外,建立稳定排稳定的排态被称为“弦稳定性”。基本上,在一个弦稳定的排中,任何单独的车辆的障碍都不会沿着排之地放大。除了稳定性之外,必须通过测量扰动抑制带宽/控制误差衰减率来量化排控制结构的性能。大多数拟议的排控制架构在过去担保稳定性/字符串稳定性,仅在限制假设下。在此工作工具和方法中,提出了分析经典稳定性,误差信号测量,以及分析和经验串稳定性。这允许用户评估给定控制结构的排气和性能,并在各种水平的系统复杂度进行参数研究。为了在现实条件下调查排行为,在商业仿真软件IPG Truckmaker的多个实例的共模实验中经验进行了经验评估的测试方案。

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