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A longitudinal control system for a platoon of vehicles using a fuzzy-sliding mode algorithm

机译:使用模糊滑模算法的车辆排纵向控制系统

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Recently much interest has been concentrated on the development of intelligent vehicle highway systems (IVHS) since they are considered to have the ability to effectively handle the traffic problems of the current industrialized society. In this context, this paper presents a control algorithm for a platoon of vehicles, which is one of the most important research areas of IVHS. The suggested control algorithm consists of a headway controller and a velocity/acceleration controller. The headway distance to the preceding vehicle and its changing rate along with the velocity of the leading vehicle are used to derive the headway control laws without using headway information from other vehicles. The velocity/acceleration controller, which controls the throttle and the brake of the controlled vehicle according to commands from the headway controller, is designed by using a fuzzy-sliding mode control (FSMC) algorithm, which does not require exact models of vehicles. It is shown that the proposed control algorithm guarantees string stability under several conditions even when each vehicle has different performance. The good performance of the suggested control algorithm is illustrated by simulations and road tests in which vehicles follow one another at 10-m spacings at a peak velocity of 80 km/h.
机译:近年来,由于智能汽车公路系统(IVHS)被认为具有有效处理当前工业化社会交通问题的能力,因此人们对它的开发越来越关注。在这种情况下,本文提出了一种用于车辆排的控制算法,这是IVHS最重要的研究领域之一。所建议的控制算法由车距控制器和速度/加速度控制器组成。到前一辆车的行进距离及其变化率以及前车的速度用于导出行车控制规则,而无需使用其他车辆的行进信息。速度/加速度控制器根据来自车头控制器的命令控制受控车辆的油门和制动器,是通过使用模糊滑模控制(FSMC)算法设计的,该算法不需要精确的车辆模型。结果表明,所提出的控制算法即使在每辆车具有不同性能的情况下,也能保证在几种条件下的弦稳定性。通过仿真和道路测试可以说明所建议的控制算法的良好性能,其中车辆以10 km的间距以80 km / h的峰值速度相互跟随。

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