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Model-Based Optimization of Vehicle Longitudinal Motion Controllers

机译:基于模型的车辆纵向运动控制器优化

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Modern Adaptive Cruise Control Systems (ACC) providing additional comfort for the driver will become a common feature of series vehicles in the near future. The adjustment of their system parameters to different engine or gear types -even of thesame vehicle body version is based on an extensive series of tests. To reduce these expensive tests, this contribution describes an approach to tune the controller parameters based on simulation results provided by a closed-loop simulation environment. In this case, only the controller fine-tuning which mostly has to consider comfort aspects has to be done on-board the vehicle.
机译:现代自适应巡航控制系统(ACC)为司机提供额外的舒适性,将成为不久的将来的串联车辆的共同特征。对不同发动机或齿轮类型的系统参数的调整 - 即将基于大量的测试。为了减少这些昂贵的测试,这种贡献描述了一种基于闭环仿真环境提供的仿真结果来调谐控制器参数的方法。在这种情况下,只有需要考虑舒适方面的控制器微调必须在车辆上完成。

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