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LONGITUDINAL CONTROL OF FOLLOWING VEHICLES WITHIN PLATOON A MODEL-BASED PREDICTIVE APPROACH

机译:分列内跟随车辆的纵向控制基于模型的预测方法

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This paper demonstrates via analysis and simulation, the feasibility of a vehicle-follower control system for vehicles within platoon using a model-based predictive approach for the control law. The demand for string stability and the minimisation of fuel consumption are shown to be achievable when the control law includes an appropriate combination of spacing policy and communication structure. The longitudinal control law presented in this study takes advantage of communication possibilities not available in the recent past. It assumes for example, that a following vehicle knows the states of the lead vehicle in addition to those of the preceding vehicles every time. A control law is developed and tested on a simulation of a platoon of 5 vehicles where the lead vehicle changes its velocity according to a predetermined cycle. This study is an extension of the interdisciplinary project "Einsatzszenarien fur Fahrerassistenz Systeme im Guterverkehr und deren Bewertung" (EFAS), supported by the German Federal Ministry for Education and Research. Within the framework of this project a longitudinal state space controller for a heavy-duty vehicle within platoon was developed and tested with Matlab/Simulink by the Institute of Automatic Control (IRT) of Aachen University.
机译:本文通过分析和仿真展示了使用基于模型的控制法的模型的预测方法在排里轿车内的车辆动力控制系统的可行性。当控制法包括间隔政策和通信结构的适当组合时,将可实现对弦稳定性的需求和燃料消耗的最小化。本研究中提出的纵向控制法利用了最近未在过去的通信可能性。它假设例如,除了每次上述车辆之外,以下车辆还知道铅车辆的状态。在铅载体根据预定循环的情况下,开发并测试了一种控制法并测试了一个5辆载体的仿真。本研究是德国联邦教育和研究部支持的跨学科项目“EINSATZSZENARIEN FUR FAHRERASSISTENZ SYSHEE IM Guterverkehr Und Deren Bewertung”(EFAS)的延伸。在该项目的框架内,通过亚琛大学的自动控制(IRT)研究所开发并测试了一个纵向型车辆的纵向状态控制器,以便Matlab / Simulink开发和测试。

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