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Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort

机译:多种自动驾驶与乘客舒适感配合的模糊运动控制策略

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This paper considers motion control for a cooperative system of automated passenger vehicles. It develops a cooperative scheme based on a decentralized planning algorithm which considers the vehicles in an initial open chain configuration. In this scheme the trajectories are intersections-free, and each trajectory is planned independently of the others. To ensure the stabilization of each vehicle in the planned trajectory, a fuzzy closed loop motion control is presented, where, based on the properties of the Fuzzy maps, the Lyapunov's stability of the motion errors is demonstrated for all the vehicles. Based on the ISO 2631-1 standard, the saturation property of the Fuzzy maps guarantees low values of longitudinal and lateral accelerations, to ensure comfort of the human body during the motion. The validity of this control algorithm is supported by simulation experiments.
机译:本文考虑了自动乘用车协同系统的运动控制。它基于分散规划算法开发了一种协作方案,该算法考虑了初始开放链配置中的车辆。在该方案中,轨迹是无交点的,并且每个轨迹的规划都是相互独立的。为了确保每辆车在计划的轨迹上稳定,提出了一种模糊闭环运动控制,其中基于模糊图的属性,证明了所有车辆的Lyapunov运动误差的稳定性。基于ISO 2631-1标准,模糊图的饱和度特性可确保较低的纵向和横向加速度值,以确保运动过程中人体的舒适感。仿真实验证明了该控制算法的有效性。

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