Optimal Control for Self-Steering of a Truck System

Lucas Elbert Suryana, E. Joelianto
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引用次数: 1

Abstract

In the next few years, vehicles with self-steering features and autonomy will go into marketplaces as a result of a lot of research on autonomous vehicles in recent years. Even the World Economic Forum has estimated that the digital alteration in the automotive business sector will create a huge amount of money in that area. The problem of trajectory path and path following for autonomous vehicles is now arising due to the complexity of the vehicle dynamic model. This paper considers a trajectory path that leads to minimal time and energy consumption. An optimal trajectory path is generated by means of Pentraxin Maximum Principle (PMP) with fixed final state and fixed final time as the constraints. In addition, it is considered an optimal non-linear control approach to control the system. Full state feedback control is selected to design the Linear Quadratic Regulator (LQR) controller. The proposed system is considered for a non-linear truck system by solving the control problem of the linearization of the truck system iterated for every time instant along with the trajectory conditions.
卡车自动转向系统的最优控制
由于近年来对自动驾驶汽车的大量研究,在未来几年,具有自动转向功能和自动驾驶功能的车辆将进入市场。就连世界经济论坛(World Economic Forum)也估计,汽车行业的数字化变革将在该领域创造巨额资金。由于车辆动力学模型的复杂性,自动驾驶车辆的轨迹路径和路径跟随问题日益突出。本文考虑了一种导致时间和能量消耗最小的轨迹路径。以固定的最终状态和固定的最终时间为约束,利用Pentraxin极大值原理(PMP)生成最优轨迹。此外,它被认为是一种最优的非线性控制方法来控制系统。采用全状态反馈控制设计线性二次型调节器(LQR)控制器。该系统针对非线性载货汽车系统,解决了载货汽车系统随轨迹条件每时刻迭代的线性化控制问题。
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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