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Robust Lateral Controller for an Unmanned Vehicle via a System Identification Method

机译:通过系统识别方法的无人车辆鲁棒横向控制器

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In this paper, we developed a lateral dynamic model of an unmanned vehicle by using a system identification method and designed a lateral controller. The system input is the steering wheel angle of the vehicle with constant longitudinal speed and the output is the yaw of the vehicle. With the system identification method using subspace method, to achieve a control objective, we designed a robust lateral controller using the model equation. We, also compared the robust control performance designed by using the system identification method with that of the physically modeled system.
机译:在本文中,我们使用系统识别方法开发了无人驾驶汽车的横向动力学模型,并设计了横向控制器。系统输入是具有恒定纵向速度的车辆的方向盘角度,输出是车辆的偏航角。通过使用子空间法的系统识别方法来实现控制目标,我们使用模型方程设计了一种鲁棒的横向控制器。我们还将使用系统识别方法设计的鲁棒控制性能与物理建模系统的鲁棒控制性能进行了比较。

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