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    无人驾驶车辆轨迹跟踪控制研究综述

    A Review of Research on Trajectory Tracking Control of Unmanned Vehicles

    • 摘要: 本文以无人驾驶车辆轨迹跟踪控制为研究对象,首先分析了无人驾驶车辆的轨迹跟踪控制所需的车辆系统模型,然后分析了无人驾驶车辆常用的轨迹跟踪控制器的设计。通过分析发现,目前常用于轨迹跟踪控制的车辆动力学模型为单轨模型,应用LQR控制算法进行轨迹跟踪控制时的状态权重矩阵Q和控制权重矩阵R的选取较为重要,纯跟踪算法在低速工况时的轨迹跟踪效果较好,线性时变模型预测控制相比于非线性模型预测控制的轨迹跟踪效果更好。

       

      Abstract: In this paper, taking the trajectory tracking control of unmanned vehicles as the research object, firstly, the vehicle system model required for the trajectory tracking control of unmanned vehicles is analyzed. Then, the design of the trajectory tracking controller commonly used in unmanned vehicles is analyzed. It is found that the vehicle dynamics model commonly used for trajectory tracking control is a monorail model. The selection of Q and R is more important when applying the LQR control algorithm for trajectory tracking control. The pure tracking algorithm has a good trajectory tracking effect in low-speed conditions. Linear time-varying model predictive control has better trajectory tracking than nonlinear model predictive control.

       

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