Model based predictive control for the longitudinal guidance of vehicles in low velocity range

被引：0
|
作者：
Zambou, N [1 ]
Richert, F [1 ]
Schlosser, A [1 ]
Abel, D [1 ]
Sandkühler, D [1 ]
机构：
[1] Rhein Westfal TH Aachen, Inst Regelungstech, D-52074 Aachen, Germany
来源：
OPEN-LOOP AND CLOSED-LOOP CONTROL OF VEHICLES AND ENGINES - AUTOREG 2004 | 2004年 / 1828卷
关键词：
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
This paper presents a model based predictive controller (MPC), which enables the control of vehicle velocity subject to keep an obligatory minimal distance to the preceding vehicle. An algorithm for situation identification and the knowledge of situation specific driver behaviour are integrated into the controller design. The control method is developed in the simulation and applied to an experimental vehicle. Within the framework of the interdisciplinary research program "intelligent traffic and user-friendly technology" (invent), supported by the German Federal Ministry of Education and Research, the Institute of Automatic Control (IRT) of the RWTH Aachen University along with the Forschungsgesellschaft Kraftfahrwesen mbH Aachen (fka) in subcontract of the invent-STA (Congestion Assistant)-consortium is working on the development of an automatically acting assistance system for the longitudinal guidance of vehicles in low velocity range.
引用
收藏
页码：361 / 370
页数：10
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