A method for a driver substitute in intelligent driving system based on simulation

Liang Chu, Yanbo Wang
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Abstract

Driver is the decision-maker of vehicle's target behaviors actually. In the simulation of a Driver-Vehicle-Environment system, a driver model is essential to correct the steering wheel angle input in right time based on the road conditions. In this paper, a new driver model is introduced. Firstly, a real-time algorithm based on dynamic parameters of vehicle body is established to estimate body posture in the next moment. Secondly, body posture is compared with the target trajectory to acquire the deviation quantity. Then, a correction of angle at the steering wheel is obtained. In Matlab simulink also a model of steering system is built up in this paper, for the purpose to simulate the steering force in steering control, which can be further extended in power steering simulation and active steering. Finally, two typical road condition simulation results show that the model in Driver-Vehicle-Environment closed loop system is feasible and effective.
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一种基于仿真的智能驾驶系统驾驶员替代方法
驾驶员实际上是车辆目标行为的决策者。在人-车-环境系统仿真中,驾驶员模型是根据路况及时修正方向盘角度输入的关键。本文提出了一种新的驱动模型。首先,建立了一种基于车身动态参数的车身姿态实时估计算法;其次,将人体姿态与目标轨迹进行比较,获取偏差量;然后,得到方向盘转角的修正量。本文还在Matlab simulink中建立了转向系统的模型,用于仿真转向控制中的转向力,可以进一步扩展到动力转向仿真和主动转向仿真中。最后,通过对两种典型路况的仿真,验证了该模型在人-车-环境闭环系统中的可行性和有效性。
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