Robust lateral controller design for an unmanned vehicle using a system identification method

M. W. Choi, J. Ryu, Hyun Seok Lee, K. Lee, M. Lee
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引用次数: 4

Abstract

In this paper, we get a lateral dynamic model of an unmanned vehicle by using a system identification method and design 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 design the robust lateral controller using the model equation. And we compare the robust control performance designed by using the system identification method with that of the physically modeled system.
基于系统辨识方法的无人驾驶飞行器鲁棒横向控制器设计
本文采用系统辨识的方法建立了无人驾驶车辆的横向动力学模型,并设计了横向控制器。系统输入是车辆在恒纵速下的方向盘角度,输出是车辆的偏航角。采用子空间方法进行系统辨识,为实现控制目标,利用模型方程设计了鲁棒横向控制器。并将采用系统辨识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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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