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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >A Driver Modeling Based on the Preview-Follower Theory and the Jerky Dynamics
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A Driver Modeling Based on the Preview-Follower Theory and the Jerky Dynamics

机译:基于跟随跟随理论和生涩动力学的驾驶员建模

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Based on the preview optimal simple artificial neural network driver model (POSANN), a new driver model, considering jerky dynamics and the tracing error between the real track and the planned path, is established. In this paper, the modeling for the driver-vehicle system is firstly described, and the relationship between weighting coefficients of driver model and system parameters is examined through test data. Secondly, the corresponding road test results are presented in order to verify the vehicle model and obtain the information on drive model and vehicle parameters. Finally, the simulations are carried out via CarSim. Simulation results indicate that the jerky dynamics need to be considered and the proposed new driver model can achieve a better path-following performance compared with the POSANN driver model.
机译:基于预览最优简单人工神经网络驱动程序模型(POSANN),建立了一个考虑了动态变化和实际轨迹与计划路径之间的跟踪误差的新驱动程序模型。本文首先描述了驾驶员-车辆系统的建模,并通过测试数据检验了驾驶员模型的权重系数与系统参数之间的关系。其次,给出相应的道路测试结果,以验证车辆模型并获得有关驾驶模型和车辆参数的信息。最后,通过CarSim进行仿真。仿真结果表明,与POSANN驱动程序模型相比,需要考虑抖动的动态性,提出的新驱动程序模型可以实现更好的路径跟踪性能。

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