Effects of roll dynamics for car stability control by laguerre functions

F. Yakub, Y. Mori
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引用次数: 3

Abstract

In this paper, we introduce and present the Laguerre functions in model predictive control approach for path following in car vehicle dynamics system. Start with the model predictive control based on linearizing vehicle and tire model where the most popular bicycle model is used. We compare the controller based on Laguerre functions for simple and complex bicycle model without and with including the roll vehicle dynamics. The roll dynamics will get influent in the high speed maneuver due to the load transfer effects. Based on simulation results, we perform the vehicle in high speed maneuvers for double lane change scenario. The result shows and presents that the predictive control based Laguerre functions give a better performance than conventional which is use Pulse operator function and fewer complexes in term of algorithm implementation. It also demonstrates that with the roll dynamics take into consideration, it significantly improves the vehicle stability and trajectory along the desired path.
拉盖尔函数对横摇动力学对汽车稳定性控制的影响
本文介绍并提出了拉盖尔函数在汽车动力学系统路径跟踪模型预测控制中的应用。首先是基于线性化车辆和轮胎模型的模型预测控制,其中最常用的是自行车模型。比较了基于Laguerre函数的简单和复杂自行车模型的控制方法。在高速机动中,由于载荷的传递效应,横摇动力学会受到影响。基于仿真结果,对双变道场景下的车辆进行高速机动。结果表明,基于Laguerre函数的预测控制在算法实现上优于使用脉冲算子函数的传统预测控制,且复杂度更小。研究还表明,在考虑侧倾动力学的情况下,该方法显著改善了车辆沿期望路径的稳定性和轨迹。
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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