Autonomous car in path following control under side wind effect by laguerre function

F. Yakub, Y. Mori
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引用次数: 2

Abstract

In this paper, the Laguerre functions in model predictive control approach for active front and rear steering for path following of autonomous car vehicle is developed and presented. The method is based on three degree of freedom linear bicycle model with linear tire model approximation. The controller based on Laguerre functions is designed to follow the desired trajectory by stabilizing the vehicle while rejecting the side wind effects. The vehicle is performing at middle and high speed maneuvers for double lane change scenario in order to see the effect of adding rear wheel steering. The simulations results showed that the predictive control based on Laguerre functions have a potential to eliminate the unmeasured disturbance compared to delta-function which is the conventional method. It also demonstrated that the disturbance effect on the vehicle in high speed maneuvers can be stabilized by utilizing the rear wheel steering rendering undisturbed movement along the desired path along the desired path.
利用拉盖尔函数控制汽车在侧风作用下的路径跟随控制
提出了自动驾驶汽车路径跟随主动前后转向模型预测控制方法中的拉盖尔函数。该方法基于三自由度线性自行车模型,采用线性轮胎模型近似。基于拉盖尔函数的控制器被设计为通过稳定飞行器来遵循期望的轨迹,同时拒绝侧风的影响。为了观察增加后轮转向的效果,车辆在双变道场景下进行中高速机动。仿真结果表明,与传统的δ函数方法相比,基于Laguerre函数的预测控制具有消除不可测扰动的潜力。研究还表明,利用后轮转向使车辆沿期望路径进行无干扰运动,可以稳定车辆在高速机动中的扰动效应。
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